From 6c66db550f74be80364ec3143bf515218d6812dd Mon Sep 17 00:00:00 2001 From: Igor Date: Tue, 12 May 2015 23:59:18 +0300 Subject: [PATCH 01/23] alpha channel support added --- src/rgbquant.js | 151 ++++++++++++++++++++++++++---------------------- 1 file changed, 83 insertions(+), 68 deletions(-) diff --git a/src/rgbquant.js b/src/rgbquant.js index bc0bd1b..f277f37 100644 --- a/src/rgbquant.js +++ b/src/rgbquant.js @@ -65,19 +65,19 @@ // if pre-defined palette, build lookups if (this.idxrgb.length > 0) { - var self = this; this.idxrgb.forEach(function(rgb, i) { - var i32 = ( - (255 << 24) | // alpha - (rgb[2] << 16) | // blue - (rgb[1] << 8) | // green - rgb[0] // red - ) >>> 0; - - self.idxi32[i] = i32; - self.i32idx[i32] = i; - self.i32rgb[i32] = rgb; - }); + var alpha = rgb.length >= 4 ? rgb[3] : 255, + i32 = ( + (alpha << 24) | // alpha + (rgb[2] << 16) | // blue + (rgb[1] << 8) | // green + rgb[0] // red + ) >>> 0; + + this.idxi32[i] = i32; + this.i32idx[i32] = i; + this.i32rgb[i32] = rgb; + }, this); } } @@ -222,7 +222,7 @@ [2 / 4, 1, 0], [1 / 4, -1, 1], [1 / 4, 0, 1], - ], + ] }; if (!kernel || !kernels[kernel]) { @@ -251,24 +251,29 @@ var idx = lni + x, i32 = buf32[idx], r1 = (i32 & 0xff), - g1 = (i32 & 0xff00) >> 8, - b1 = (i32 & 0xff0000) >> 16; + g1 = (i32 >>> 8) & 0xff, + b1 = (i32 >>> 16) & 0xff, + a1 = (i32 >>> 24) & 0xff; + + ASSERT(i32 > 0, "negative color. use >>> 0 to avoid it"); // Reduced pixel var i32x = this.nearestColor(i32), r2 = (i32x & 0xff), - g2 = (i32x & 0xff00) >> 8, - b2 = (i32x & 0xff0000) >> 16; + g2 = (i32x >>> 8) & 0xff, + b2 = (i32x >>> 16) & 0xff, + a2 = (i32x >>> 24) & 0xff; - buf32[idx] = - (255 << 24) | // alpha + buf32[idx] = ( + (a2 << 24) | // alpha (b2 << 16) | // blue (g2 << 8) | // green - r2; + r2 // red + ) >>> 0; // dithering strength if (this.dithDelta) { - var dist = this.colorDist([r1, g1, b1], [r2, g2, b2]); + var dist = this.colorDist([r1, g1, b1, a1], [r2, g2, b2, a2]); if (dist < this.dithDelta) continue; } @@ -276,7 +281,8 @@ // Component distance var er = r1 - r2, eg = g1 - g2, - eb = b1 - b2; + eb = b1 - b2, + ea = a1 - a2; for (var i = (dir == 1 ? 0 : ds.length - 1), end = (dir == 1 ? ds.length : 0); i !== end; i += dir) { var x1 = ds[i][1] * dir, @@ -289,18 +295,21 @@ var idx2 = idx + (lni2 + x1); var r3 = (buf32[idx2] & 0xff), - g3 = (buf32[idx2] & 0xff00) >> 8, - b3 = (buf32[idx2] & 0xff0000) >> 16; + g3 = (buf32[idx2] >>> 8) & 0xff, + b3 = (buf32[idx2] >>> 16) & 0xff, + a3 = (buf32[idx2] >>> 24) & 0xff; var r4 = Math.max(0, Math.min(255, r3 + er * d)), g4 = Math.max(0, Math.min(255, g3 + eg * d)), - b4 = Math.max(0, Math.min(255, b3 + eb * d)); + b4 = Math.max(0, Math.min(255, b3 + eb * d)), + a4 = Math.max(0, Math.min(255, a3 + ea * d)); - buf32[idx2] = - (255 << 24) | // alpha + buf32[idx2] = ( + (a4 << 24) | // alpha (b4 << 16) | // blue (g4 << 8) | // green - r4; // red + r4 // red + ) >>> 0; } } } @@ -429,8 +438,9 @@ var idxrgb = idxi32.map(function(i32) { return [ (i32 & 0xff), - (i32 & 0xff00) >> 8, - (i32 & 0xff0000) >> 16, + (i32 >>> 8) & 0xff, + (i32 >>> 16) & 0xff, + (i32 >>> 24) & 0xff ]; }); @@ -534,22 +544,21 @@ boxH = this.boxSize[1], area = boxW * boxH, boxes = makeBoxes(width, buf32.length / width, boxW, boxH), - histG = this.histogram, - self = this; + histG = this.histogram; boxes.forEach(function(box) { - var effc = Math.max(Math.round((box.w * box.h) / area) * self.boxPxls, 2), + var effc = Math.max(Math.round((box.w * box.h) / area) * this.boxPxls, 2), histL = {}, col; - iterBox(box, width, function(i) { + this.iterBox(box, width, function(i) { col = buf32[i]; // skip transparent if ((col & 0xff000000) >> 24 == 0) return; // collect hue stats - if (self.hueStats) - self.hueStats.check(col); + if (this.hueStats) + this.hueStats.check(col); if (col in histG) histG[col]++; @@ -560,7 +569,7 @@ else histL[col] = 1; }); - }); + }, this); if (this.hueStats) this.hueStats.inject(histG); @@ -596,9 +605,22 @@ // sync idxrgb & i32idx this.idxi32.forEach(function(i32, i) { - self.idxrgb[i] = self.i32rgb[i32]; - self.i32idx[i32] = i; - }); + this.idxrgb[i] = this.i32rgb[i32]; + this.i32idx[i32] = i; + }, this); + }; + + // iterates @bbox within a parent rect of width @wid; calls @fn, passing index within parent + RgbQuant.prototype.iterBox = function(bbox, wid, fn) { + var b = bbox, + i0 = b.y * wid + b.x, + i1 = (b.y + b.h - 1) * wid + (b.x + b.w - 1), + cnt = 0, incr = wid - b.w + 1, i = i0; + + do { + fn.call(this, i); + i += (++cnt % b.w == 0) ? incr : 1; + } while (i <= i1); }; // TOTRY: use HUSL - http://boronine.com/husl/ @@ -620,8 +642,9 @@ idx, rgb = [ (i32 & 0xff), - (i32 & 0xff00) >> 8, - (i32 & 0xff0000) >> 16, + (i32 >>> 8) & 0xff, + (i32 >>> 16) & 0xff, + (i32 >>> 24) & 0xff ], len = this.idxrgb.length; @@ -660,8 +683,9 @@ this.check = function() {return;}; var r = (i32 & 0xff), - g = (i32 & 0xff00) >> 8, - b = (i32 & 0xff0000) >> 16, + g = (i32 >>> 8) & 0xff, + b = (i32 >>> 16) & 0xff, + a = (i32 >>> 24) & 0xff, hg = (r == g && g == b) ? -1 : hueGroup(rgb2hsl(r,g,b).h, this.numGroups), gr = this.stats[hg], min = this.minCols; @@ -703,7 +727,8 @@ // Rec. 709 (sRGB) luma coef var Pr = .2126, Pg = .7152, - Pb = .0722; + Pb = .0722, + Pa = 1; // TODO: (igor-bezkrovny) what should be here? // http://alienryderflex.com/hsp.html function rgb2lum(r,g,b) { @@ -716,26 +741,29 @@ var rd = 255, gd = 255, - bd = 255; + bd = 255, + ad = 255; - var euclMax = Math.sqrt(Pr*rd*rd + Pg*gd*gd + Pb*bd*bd); + var euclMax = Math.sqrt(Pr*rd*rd + Pg*gd*gd + Pb*bd*bd + Pa*ad*ad); // perceptual Euclidean color distance function distEuclidean(rgb0, rgb1) { var rd = rgb1[0]-rgb0[0], gd = rgb1[1]-rgb0[1], - bd = rgb1[2]-rgb0[2]; + bd = rgb1[2]-rgb0[2], + ad = rgb1[3]-rgb0[3]; - return Math.sqrt(Pr*rd*rd + Pg*gd*gd + Pb*bd*bd) / euclMax; + return Math.sqrt(Pr*rd*rd + Pg*gd*gd + Pb*bd*bd + Pa*ad*ad) / euclMax; } - var manhMax = Pr*rd + Pg*gd + Pb*bd; + var manhMax = Pr*rd + Pg*gd + Pb*bd + Pa*ad; // perceptual Manhattan color distance function distManhattan(rgb0, rgb1) { var rd = Math.abs(rgb1[0]-rgb0[0]), gd = Math.abs(rgb1[1]-rgb0[1]), - bd = Math.abs(rgb1[2]-rgb0[2]); + bd = Math.abs(rgb1[2]-rgb0[2]), + ad = Math.abs(rgb1[3]-rgb0[3]); - return (Pr*rd + Pg*gd + Pb*bd) / manhMax; + return (Pr*rd + Pg*gd + Pb*bd + Pa*ad) / manhMax; } // http://rgb2hsl.nichabi.com/javascript-function.php @@ -765,7 +793,7 @@ return { h: h, s: s, - l: rgb2lum(r,g,b), + l: rgb2lum(r,g,b) }; } @@ -880,7 +908,7 @@ buf8: buf8, buf32: buf32, width: width, - height: height, + height: height }; } @@ -899,19 +927,6 @@ return bxs; } - // iterates @bbox within a parent rect of width @wid; calls @fn, passing index within parent - function iterBox(bbox, wid, fn) { - var b = bbox, - i0 = b.y * wid + b.x, - i1 = (b.y + b.h - 1) * wid + (b.x + b.w - 1), - cnt = 0, incr = wid - b.w + 1, i = i0; - - do { - fn.call(this, i); - i += (++cnt % b.w == 0) ? incr : 1; - } while (i <= i1); - } - // returns array of hash keys sorted by their values function sortedHashKeys(obj, desc) { var keys = []; @@ -932,4 +947,4 @@ module.exports = RgbQuant; } -}).call(this); \ No newline at end of file +}).call(this); From 642360dd5a97d34c333db06cc45657adad39cb7d Mon Sep 17 00:00:00 2001 From: Igor Date: Wed, 13 May 2015 00:00:12 +0300 Subject: [PATCH 02/23] images with alpha channel added to demo --- demo/css/demo.css | 21 ++++++++++- demo/index.html | 39 ++++++++++++++++++++- demo/png/Angry-Minion-icon.png | Bin 0 -> 26311 bytes demo/png/Curious-Minion-Icon-2.png | Bin 0 -> 18323 bytes demo/png/Curious-Minion-Icon.png | Bin 0 -> 25594 bytes demo/png/Dancing-minion-icon.png | Bin 0 -> 29817 bytes demo/png/Edith-despicable-me-2-icon.png | Bin 0 -> 17420 bytes demo/png/Evil-Minion-Icon-3.png | Bin 0 -> 30586 bytes demo/png/Evil-Minion-Icon-4.png | Bin 0 -> 28899 bytes demo/png/Happy-Minion-Icon.png | Bin 0 -> 24670 bytes demo/png/Margo-dispicable-me-2-icon.png | Bin 0 -> 15312 bytes demo/png/Minion icon.png | Bin 0 -> 28286 bytes demo/png/Minion-playing-golf-icon.png | Bin 0 -> 23833 bytes demo/png/Minion-reading-icon.png | Bin 0 -> 25793 bytes demo/png/Sad-Agnes-Icon.png | Bin 0 -> 14813 bytes demo/png/Shy-Minion-icon.png | Bin 0 -> 22001 bytes demo/png/agnes-overjoyed-icon.png | Bin 0 -> 25427 bytes demo/png/agnes-sleeping-icon.png | Bin 0 -> 20291 bytes demo/png/despicable-me-2-Minion-icon-1.png | Bin 0 -> 24618 bytes demo/png/despicable-me-2-Minion-icon-2.png | Bin 0 -> 26812 bytes demo/png/despicable-me-2-Minion-icon-3.png | Bin 0 -> 32685 bytes demo/png/despicable-me-2-Minion-icon-4.png | Bin 0 -> 32805 bytes demo/png/despicable-me-2-Minion-icon-5.png | Bin 0 -> 27802 bytes demo/png/despicable-me-2-Minion-icon-6.png | Bin 0 -> 29896 bytes demo/png/despicable-me-2-Minion-icon-7.png | Bin 0 -> 26920 bytes demo/png/despicable-me-2-Minion-icon-8.png | Bin 0 -> 21991 bytes demo/png/evil-minion-icon-2.png | Bin 0 -> 26936 bytes demo/png/evil-minion-icon.png | Bin 0 -> 35274 bytes demo/png/girl-minion-icon.png | Bin 0 -> 28604 bytes demo/png/gru-icon-2.png | Bin 0 -> 17768 bytes demo/png/gru-icon.png | Bin 0 -> 14562 bytes demo/png/happy-agnes-icon.png | Bin 0 -> 29510 bytes demo/png/kungfu-Minion.png | Bin 0 -> 25070 bytes demo/png/superman-minion-icon.png | Bin 0 -> 21109 bytes 34 files changed, 58 insertions(+), 2 deletions(-) create mode 100644 demo/png/Angry-Minion-icon.png create mode 100644 demo/png/Curious-Minion-Icon-2.png create mode 100644 demo/png/Curious-Minion-Icon.png create mode 100644 demo/png/Dancing-minion-icon.png create mode 100644 demo/png/Edith-despicable-me-2-icon.png create mode 100644 demo/png/Evil-Minion-Icon-3.png create mode 100644 demo/png/Evil-Minion-Icon-4.png create mode 100644 demo/png/Happy-Minion-Icon.png create mode 100644 demo/png/Margo-dispicable-me-2-icon.png create mode 100644 demo/png/Minion icon.png create mode 100644 demo/png/Minion-playing-golf-icon.png create mode 100644 demo/png/Minion-reading-icon.png create mode 100644 demo/png/Sad-Agnes-Icon.png create mode 100644 demo/png/Shy-Minion-icon.png create mode 100644 demo/png/agnes-overjoyed-icon.png create mode 100644 demo/png/agnes-sleeping-icon.png create mode 100644 demo/png/despicable-me-2-Minion-icon-1.png create mode 100644 demo/png/despicable-me-2-Minion-icon-2.png create mode 100644 demo/png/despicable-me-2-Minion-icon-3.png create mode 100644 demo/png/despicable-me-2-Minion-icon-4.png create mode 100644 demo/png/despicable-me-2-Minion-icon-5.png create mode 100644 demo/png/despicable-me-2-Minion-icon-6.png create mode 100644 demo/png/despicable-me-2-Minion-icon-7.png create mode 100644 demo/png/despicable-me-2-Minion-icon-8.png create mode 100644 demo/png/evil-minion-icon-2.png create mode 100644 demo/png/evil-minion-icon.png create mode 100644 demo/png/girl-minion-icon.png create mode 100644 demo/png/gru-icon-2.png create mode 100644 demo/png/gru-icon.png create mode 100644 demo/png/happy-agnes-icon.png create mode 100644 demo/png/kungfu-Minion.png create mode 100644 demo/png/superman-minion-icon.png diff --git a/demo/css/demo.css b/demo/css/demo.css index 46fc18a..0ff9fbd 100644 --- a/demo/css/demo.css +++ b/demo/css/demo.css @@ -91,4 +91,23 @@ input[type="text"] { pre { margin: 10px 0 0 0; -} \ No newline at end of file +} + +#orig, #redu { + background-image: + -moz-linear-gradient(45deg, #000 25%, transparent 25%), + -moz-linear-gradient(-45deg, #000 25%, transparent 25%), + -moz-linear-gradient(45deg, transparent 75%, #000 75%), + -moz-linear-gradient(-45deg, transparent 75%, #000 75%); + background-image: + -webkit-gradient(linear, 0 100%, 100% 0, color-stop(.25, #000), color-stop(.25, transparent)), + -webkit-gradient(linear, 0 0, 100% 100%, color-stop(.25, #000), color-stop(.25, transparent)), + -webkit-gradient(linear, 0 100%, 100% 0, color-stop(.75, transparent), color-stop(.75, #000)), + -webkit-gradient(linear, 0 0, 100% 100%, color-stop(.75, transparent), color-stop(.75, #000)); + + -moz-background-size:20px 20px; + background-size:20px 20px; + -webkit-background-size:20px 21px; /* override value for shitty webkit */ + + background-position:0 0, 10px 0, 10px -10px, 0px 10px; +} diff --git a/demo/index.html b/demo/index.html index b3acd9a..99b8126 100644 --- a/demo/index.html +++ b/demo/index.html @@ -94,6 +94,43 @@

RgbQuant.js

A single, optimal palette is progressivley generated for a set of images. Each is then reduced using it.
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z+zH5@{*z`Ny6YIod1|J)_7m%?e{J(&{Pf5AnZ4I(8h>zkY3`@5tZm84a!sYet|6y=uYJBthpn9f*we(v|V``(8TQsQ5SOq~BRIq=%9YbzAlNMCLNq^vqKy??WN z&z=XeqWES}l^9RoTK7ZF`%l#lSiM1a-E-%ct%y>A-`v`S69R1<#uESsW~ z;@WC>UncG5IVXegFUl}_#m!h)THx&2b6=T290>3Kd9&GkpAzg3ghK(n`Pq|m z^NatJ41&oYx~oD^+IUS{Kx7Lz5#%*$3lFSO{>$u@;~$+PUl7blUr*mKN?Bb zOwz{VvkSZafkvKwrI7QLvXDwCuBRpZ^ Date: Wed, 13 May 2015 00:18:08 +0300 Subject: [PATCH 03/23] ASSERT removed (code cleanup) --- src/rgbquant.js | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/rgbquant.js b/src/rgbquant.js index f277f37..f57e644 100644 --- a/src/rgbquant.js +++ b/src/rgbquant.js @@ -255,8 +255,6 @@ b1 = (i32 >>> 16) & 0xff, a1 = (i32 >>> 24) & 0xff; - ASSERT(i32 > 0, "negative color. use >>> 0 to avoid it"); - // Reduced pixel var i32x = this.nearestColor(i32), r2 = (i32x & 0xff), From ed5151ecb21c47ce5b9663aa88957b22f455c0b0 Mon Sep 17 00:00:00 2001 From: igorbz Date: Wed, 13 May 2015 16:44:06 +0300 Subject: [PATCH 04/23] typescript migration started --- demo/index.html | 8 +- demo/js/demo.js | 4 +- src/build.cmd | 3 + src/colorQuant.ts | 1076 +++++++++++++++++++++++++++++++++++++++++++++ src/rgbquant.js | 289 +++++++----- 5 files changed, 1263 insertions(+), 117 deletions(-) create mode 100644 src/build.cmd create mode 100644 src/colorQuant.ts diff --git a/demo/index.html b/demo/index.html index 99b8126..d6c0fc3 100644 --- a/demo/index.html +++ b/demo/index.html @@ -7,7 +7,7 @@ - + @@ -143,9 +143,9 @@

Config

             var opts = {
                 colors: ,
-                minHueCols: ,
-                dithKern: ,
-                ,
+                
+                dithKern: 
+                
             };
diff --git a/demo/js/demo.js b/demo/js/demo.js index 9ea45bd..526ce4e 100644 --- a/demo/js/demo.js +++ b/demo/js/demo.js @@ -93,7 +93,7 @@ function process(srcs) { }); var opts = (srcs.length == 1) ? getOpts(baseName(srcs[0])[0]) : dflt_opts, - quant = new RgbQuant(opts); + quant = new ColorQuantization.RgbQuant(opts); $.each(imgs, function() { var img = this, id = baseName(img.src)[0]; @@ -157,4 +157,4 @@ $(document).on("click", "img.th", function() { // process(["img/grad_default.png"]); }).on("change", "input, textarea, select", function() { cfg_edited = true; -}); \ No newline at end of file +}); diff --git a/src/build.cmd b/src/build.cmd new file mode 100644 index 0000000..ba9abf4 --- /dev/null +++ b/src/build.cmd @@ -0,0 +1,3 @@ +pushd %~dp0 +tsc colorQuant.ts --out colorQuant.js +popd diff --git a/src/colorQuant.ts b/src/colorQuant.ts new file mode 100644 index 0000000..fc288bc --- /dev/null +++ b/src/colorQuant.ts @@ -0,0 +1,1076 @@ +/* +* Copyright (c) 2015, Leon Sorokin +* All rights reserved. (MIT Licensed) +* +* RgbQuant.js - an image quantization lib +*/ + +module ColorQuantization { + + // Rec. 709 (sRGB) luma coef + var Pr = .2126, + Pg = .7152, + Pb = .0722, + Pa = 1; // TODO: (igor-bezkrovny) what should be here? + + // http://alienryderflex.com/hsp.html + function rgb2lum(r, g, b) { + return Math.sqrt( + Pr * r * r + + Pg * g * g + + Pb * b * b + ); + } + + + // http://rgb2hsl.nichabi.com/javascript-function.php + function rgb2hsl(r, g, b) { + var max, min, h, s, l, d; + r /= 255; + g /= 255; + b /= 255; + max = Math.max(r, g, b); + min = Math.min(r, g, b); + l = (max + min) / 2; + if (max == min) { + h = s = 0; + } else { + d = max - min; + s = l > 0.5 ? d / (2 - max - min) : d / (max + min); + switch (max) { + case r: + h = (g - b) / d + (g < b ? 6 : 0); + break; + case g: + h = (b - r) / d + 2; + break; + case b: + h = (r - g) / d + 4; + break + } + h /= 6; + } +// h = Math.floor(h * 360) +// s = Math.floor(s * 100) +// l = Math.floor(l * 100) + return { + h: h, + s: s, + l: rgb2lum(r, g, b) + }; + } + + function hueGroup(hue, segs) { + var seg = 1 / segs, + haf = seg / 2; + + if (hue >= 1 - haf || hue <= haf) + return 0; + + for (var i = 1; i < segs; i++) { + var mid = i * seg; + if (hue >= mid - haf && hue <= mid + haf) + return i; + } + } + + function satGroup(sat) { + return sat; + } + + function lumGroup(lum) { + return lum; + } + + function typeOf(val) { + return Object.prototype.toString.call(val).slice(8, -1); + } + + var sort = isArrSortStable() ? Array.prototype.sort : stableSort; + + // must be used via stableSort.call(arr, fn) + function stableSort(fn) { + var type = typeOf(this[ 0 ]); + + if (type == "Number" || type == "String") { + var ord = {}, len = this.length, val; + + for (var i = 0; i < len; i++) { + val = this[ i ]; + if (ord[ val ] || ord[ val ] === 0) continue; + ord[ val ] = i; + } + + return this.sort(function (a, b) { + return fn(a, b) || ord[ a ] - ord[ b ]; + }); + } + else { + var ord2 = this.map(function (v) { + return v + }); + + return this.sort(function (a, b) { + return fn(a, b) || ord2.indexOf(a) - ord2.indexOf(b); + }); + } + } + + // test if js engine's Array#sort implementation is stable + function isArrSortStable() { + var str = "abcdefghijklmnopqrstuvwxyz"; + + return "xyzvwtursopqmnklhijfgdeabc" == str.split("").sort(function (a, b) { + return ~~(str.indexOf(b) / 2.3) - ~~(str.indexOf(a) / 2.3); + }).join(""); + } + + // returns uniform pixel data from various img + // TODO?: if array is passed, createimagedata, createlement canvas? take a pxlen? + function getImageData(img, width?) { + var can, ctx, imgd, buf8, buf32, height; + + switch (typeOf(img)) { + case "HTMLImageElement": + can = document.createElement("canvas"); + can.width = img.naturalWidth; + can.height = img.naturalHeight; + ctx = can.getContext("2d"); + ctx.drawImage(img, 0, 0); + case "Canvas": + case "HTMLCanvasElement": + can = can || img; + ctx = ctx || can.getContext("2d"); + case "CanvasRenderingContext2D": + ctx = ctx || img; + can = can || ctx.canvas; + imgd = ctx.getImageData(0, 0, can.width, can.height); + case "ImageData": + imgd = imgd || img; + width = imgd.width; + if (typeOf(imgd.data) == "CanvasPixelArray") + buf8 = new Uint8Array(imgd.data); + else + buf8 = imgd.data; + case "Array": + case "CanvasPixelArray": + buf8 = buf8 || new Uint8Array(img); + case "Uint8Array": + case "Uint8ClampedArray": + buf8 = buf8 || img; + buf32 = new Uint32Array(buf8.buffer); + case "Uint32Array": + buf32 = buf32 || img; + buf8 = buf8 || new Uint8Array(buf32.buffer); + width = width || buf32.length; + height = buf32.length / width; + } + + return { + can : can, + ctx : ctx, + imgd : imgd, + buf8 : buf8, + buf32 : buf32, + width : width, + height: height + }; + } + + // partitions a rect of wid x hgt into + // array of bboxes of w0 x h0 (or less) + function makeBoxes(wid, hgt, w0, h0) { + var wnum = ~~(wid / w0), wrem = wid % w0, + hnum = ~~(hgt / h0), hrem = hgt % h0, + xend = wid - wrem, yend = hgt - hrem; + + var bxs = []; + for (var y = 0; y < hgt; y += h0) + for (var x = 0; x < wid; x += w0) + bxs.push({x: x, y: y, w: (x == xend ? wrem : w0), h: (y == yend ? hrem : h0)}); + + return bxs; + } + + // returns array of hash keys sorted by their values + function sortedHashKeys(obj, desc) { + var keys = []; + + for (var key in obj) + keys.push(key); + + return sort.call(keys, function (a, b) { + return desc ? obj[ b ] - obj[ a ] : obj[ a ] - obj[ b ]; + }); + } + + var rd = 255, + gd = 255, + bd = 255, + ad = 255; + + var euclMax = Math.sqrt(Pr * rd * rd + Pg * gd * gd + Pb * bd * bd + Pa * ad * ad); + // perceptual Euclidean color distance + function distEuclidean(rgb0, rgb1) { + var rd = rgb1[ 0 ] - rgb0[ 0 ], + gd = rgb1[ 1 ] - rgb0[ 1 ], + bd = rgb1[ 2 ] - rgb0[ 2 ], + ad = rgb1[ 3 ] - rgb0[ 3 ]; + + return Math.sqrt(Pr * rd * rd + Pg * gd * gd + Pb * bd * bd + Pa * ad * ad) / euclMax; + } + + var manhMax = Pr * rd + Pg * gd + Pb * bd + Pa * ad; + // perceptual Manhattan color distance + function distManhattan(rgb0, rgb1) { + var rd = Math.abs(rgb1[ 0 ] - rgb0[ 0 ]), + gd = Math.abs(rgb1[ 1 ] - rgb0[ 1 ]), + bd = Math.abs(rgb1[ 2 ] - rgb0[ 2 ]), + ad = Math.abs(rgb1[ 3 ] - rgb0[ 3 ]); + + return (Pr * rd + Pg * gd + Pb * bd + Pa * ad) / manhMax; + } + + /* + Finally, I've found it! After thorough testing and experimentation my conclusions are: + + The correct way is to calculate maximum possible difference between the two colors. + Formulas with any kind of estimated average/typical difference had room for non-linearities. + + I was unable to find correct formula that calculates the distance without blending RGBA colors with backgrounds. + + There is no need to take every possible background color into account, only extremes per R/G/B channel, i.e. for red channel: + + blend both colors with 0 red as background, measure squared difference + blend both colors with max red background, measure squared difference + take higher of the two. + Fortunately blending with "white" and "black" is trivial when you use premultiplied alpha (r = r×a). + + The complete formula is: + max((r?-r?)², (r?-r? - a?+a?)²) + + max((g?-g?)², (g?-g? - a?+a?)²) + + max((b?-b?)², (b?-b? - a?+a?)²) + */ + function colordifference_ch(x, y, alphas) { + // maximum of channel blended on white, and blended on black + // premultiplied alpha and backgrounds 0/1 shorten the formula + var black = x - y, // [-255; 255] + white = black + alphas; // [-255; 255*2] + + return Math.max(black * black, white * white); // [0; 255^2 + (255*2)^2] + } + + //var rgbaMax = (255*255 + (255*2) * (255*2)) * 3; + var rgbaMax = Math.pow(255 << 1, 2) * 3; + + function distRGBA(rgb0, rgb1) { + /* + var r1 = rgb0[0], + g1 = rgb0[1], + b1 = rgb0[2], + a1 = rgb0[3]; + + var r2 = rgb1[0], + g2 = rgb1[1], + b2 = rgb1[2], + a2 = rgb1[3]; + + var dr = r1 - r2, + dg = g1 - g2, + db = b1 - b2, + da = a1 - a2; + + return (Math.max(dr << 1, dr - da << 1) + + Math.max(dg << 1, dg - da << 1) + + Math.max(db << 1, db - da << 1)) / rgbaMax; + + */ + var alphas = rgb1[ 3 ] - rgb0[ 3 ], + dist = colordifference_ch(rgb0[ 0 ], rgb1[ 0 ], alphas) + + colordifference_ch(rgb0[ 1 ], rgb1[ 1 ], alphas) + + colordifference_ch(rgb0[ 2 ], rgb1[ 2 ], alphas); + + if (dist > rgbaMax) { + console.log(dist); + } + + return dist / rgbaMax; + } + + // http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/ + var kernels = { + FloydSteinberg : [ + [ 7 / 16, 1, 0 ], + [ 3 / 16, -1, 1 ], + [ 5 / 16, 0, 1 ], + [ 1 / 16, 1, 1 ] + ], + FalseFloydSteinberg: [ + [ 3 / 8, 1, 0 ], + [ 3 / 8, 0, 1 ], + [ 2 / 8, 1, 1 ] + ], + Stucki : [ + [ 8 / 42, 1, 0 ], + [ 4 / 42, 2, 0 ], + [ 2 / 42, -2, 1 ], + [ 4 / 42, -1, 1 ], + [ 8 / 42, 0, 1 ], + [ 4 / 42, 1, 1 ], + [ 2 / 42, 2, 1 ], + [ 1 / 42, -2, 2 ], + [ 2 / 42, -1, 2 ], + [ 4 / 42, 0, 2 ], + [ 2 / 42, 1, 2 ], + [ 1 / 42, 2, 2 ] + ], + Atkinson : [ + [ 1 / 8, 1, 0 ], + [ 1 / 8, 2, 0 ], + [ 1 / 8, -1, 1 ], + [ 1 / 8, 0, 1 ], + [ 1 / 8, 1, 1 ], + [ 1 / 8, 0, 2 ] + ], + Jarvis : [ // Jarvis, Judice, and Ninke / JJN? + [ 7 / 48, 1, 0 ], + [ 5 / 48, 2, 0 ], + [ 3 / 48, -2, 1 ], + [ 5 / 48, -1, 1 ], + [ 7 / 48, 0, 1 ], + [ 5 / 48, 1, 1 ], + [ 3 / 48, 2, 1 ], + [ 1 / 48, -2, 2 ], + [ 3 / 48, -1, 2 ], + [ 5 / 48, 0, 2 ], + [ 3 / 48, 1, 2 ], + [ 1 / 48, 2, 2 ] + ], + Burkes : [ + [ 8 / 32, 1, 0 ], + [ 4 / 32, 2, 0 ], + [ 2 / 32, -2, 1 ], + [ 4 / 32, -1, 1 ], + [ 8 / 32, 0, 1 ], + [ 4 / 32, 1, 1 ], + [ 2 / 32, 2, 1 ], + ], + Sierra : [ + [ 5 / 32, 1, 0 ], + [ 3 / 32, 2, 0 ], + [ 2 / 32, -2, 1 ], + [ 4 / 32, -1, 1 ], + [ 5 / 32, 0, 1 ], + [ 4 / 32, 1, 1 ], + [ 2 / 32, 2, 1 ], + [ 2 / 32, -1, 2 ], + [ 3 / 32, 0, 2 ], + [ 2 / 32, 1, 2 ] + ], + TwoSierra : [ + [ 4 / 16, 1, 0 ], + [ 3 / 16, 2, 0 ], + [ 1 / 16, -2, 1 ], + [ 2 / 16, -1, 1 ], + [ 3 / 16, 0, 1 ], + [ 2 / 16, 1, 1 ], + [ 1 / 16, 2, 1 ] + ], + SierraLite : [ + [ 2 / 4, 1, 0 ], + [ 1 / 4, -1, 1 ], + [ 1 / 4, 0, 1 ] + ] + }; + + + export enum RgbQuantDitheringKernel { + NONE = 0 + } + export class RgbQuant { + // 1 = by global population, 2 = subregion population threshold + private method : number = 2; + + // desired final palette size + private colors : number = 256; + + // # of highest-frequency colors to start with for palette reduction + private initColors : number; + + // color-distance threshold for initial reduction pass + private initDist = 0.01; + + // subsequent passes threshold + private distIncr : number = 0.005; + + // palette grouping + private hueGroups : number = 10; + private satGroups : number = 10; + private lumGroups : number = 10; + + // if > 0, enables hues stats and min-color retention per group + private minHueCols : number; + + // HueStats instance + private hueStats : HueStats; + + // subregion partitioning box size + private boxSize = [ 64, 64 ]; + + // number of same pixels required within box for histogram inclusion + private boxPxls = 2; + + // palette locked indicator + private palLocked = false; + + // palette sort order +// this.sortPal = ['hue-','lum-','sat-']; + + // dithering/error diffusion kernel name + private dithKern : RgbQuantDitheringKernel = RgbQuantDitheringKernel.NONE; + + // dither serpentine pattern + private dithSerp = true; + + // minimum color difference (0-1) needed to dither + private dithDelta = 0; + + // accumulated histogram + private histogram = {}; + + // palette - rgb triplets + private idxrgb = []; + + // palette - int32 vals + private idxi32 = []; + + // reverse lookup {i32:idx} + private i32idx = {}; + + // {i32:rgb} + private i32rgb = {}; + + // enable color caching (also incurs overhead of cache misses and cache building) + private useCache = true; + + // min color occurance count needed to qualify for caching + private cacheFreq = 10; + + // allows pre-defined palettes to be re-indexed (enabling palette compacting and sorting) + private reIndex = true; + + constructor(opts) { + opts = opts || {}; + + // 1 = by global population, 2 = subregion population threshold + if (typeof opts.method === "number") this.method = opts.method; + + // desired final palette size + if (typeof opts.colors === "number") this.colors = opts.colors; + + // # of highest-frequency colors to start with for palette reduction + this.initColors = this.colors << 2;//opts.initColors || 65536; //4096; + // if > 0, enables hues stats and min-color retention per group + this.minHueCols = this.colors << 2;//opts.minHueCols || 0; + + // HueStats instance + this.hueStats = this.minHueCols ? new HueStats(this.hueGroups, this.minHueCols) : null; + + // dithering/error diffusion kernel name + if (typeof this.dithKern === "number") this.dithKern = opts.dithKern; + + // accumulated histogram + this.histogram = {}; + // palette - rgb triplets + if (Object.prototype.toString.call(opts.palette) === "[object Array]") this.idxrgb = opts.palette.slice(0); + + // if pre-defined palette, build lookups + if (this.idxrgb.length > 0) { + this.idxrgb.forEach(function (rgb, i) { + var alpha = rgb.length >= 4 ? rgb[ 3 ] : 255, + i32 = ( + (alpha << 24) | // alpha + (rgb[ 2 ] << 16) | // blue + (rgb[ 1 ] << 8) | // green + rgb[ 0 ] // red + ) >>> 0; + + this.idxi32[ i ] = i32; + this.i32idx[ i32 ] = i; + this.i32rgb[ i32 ] = rgb; + }, this); + } + } + + // gathers histogram info + public sample(img, width) { + if (this.palLocked) + throw "Cannot sample additional images, palette already assembled."; + + var data = getImageData(img, width); + + switch (this.method) { + case 1: + this.colorStats1D(data.buf32); + break; + case 2: + this.colorStats2D(data.buf32, data.width); + break; + } + } + + // image quantizer + // todo: memoize colors here also + // @retType: 1 - Uint8Array (default), 2 - Indexed array, 3 - Match @img type (unimplemented, todo) + public reduce(img, retType, dithKern, dithSerp) : any { + if (!this.palLocked) + this.buildPal(); + + dithKern = dithKern || this.dithKern; + dithSerp = typeof dithSerp != "undefined" ? dithSerp : this.dithSerp; + + retType = retType || 1; + + // reduce w/dither + var buf32; + if (dithKern) + buf32 = this.dither(img, dithKern, dithSerp); + else { + var data = getImageData(img); + buf32 = data.buf32; + } + + var len : number = buf32.length, + out32 = new Uint32Array(len); + + for (var i = 0; i < len; i++) { + var i32 : number = buf32[ i ]; + out32[ i ] = this.nearestColor(i32); + } + + if (retType == 1) + return new Uint8Array(out32.buffer); + + if (retType == 2) { + var out = [], + len : number = out32.length; + + for (var i = 0; i < len; i++) { + var i32 : number = out32[ i ]; + out[ i ] = this.i32idx[ i32 ]; + } + + return out; + } + } + + // adapted from http://jsbin.com/iXofIji/2/edit by PAEz + public dither(img, kernel, serpentine) { + if (!kernel || !kernels[ kernel ]) { + throw 'Unknown dithering kernel: ' + kernel; + } + + var ds = kernels[ kernel ]; + + var data = getImageData(img), +// buf8 = data.buf8, + buf32 = data.buf32, + width = data.width, + height = data.height, + len = buf32.length; + + var dir = serpentine ? -1 : 1; + + //(console).profile("dither"); + for (var y = 0; y < height; y++) { + if (serpentine) + dir = dir * -1; + + var lni = y * width; + + for (var x = (dir == 1 ? 0 : width - 1), xend = (dir == 1 ? width : 0); x !== xend; x += dir) { + // Image pixel + var idx = lni + x, + i32 = buf32[ idx ], + r1 = (i32 & 0xff), + g1 = (i32 >>> 8) & 0xff, + b1 = (i32 >>> 16) & 0xff, + a1 = (i32 >>> 24) & 0xff; + + // Reduced pixel + var i32x = this.nearestColor(i32), + r2 = (i32x & 0xff), + g2 = (i32x >>> 8) & 0xff, + b2 = (i32x >>> 16) & 0xff, + a2 = (i32x >>> 24) & 0xff; + + buf32[ idx ] = i32x; + + // dithering strength + if (this.dithDelta) { + var dist = distEuclidean([ r1, g1, b1, a1 ], [ r2, g2, b2, a2 ]); + if (dist < this.dithDelta) + continue; + } + + // Component distance + var er = r1 - r2, + eg = g1 - g2, + eb = b1 - b2, + ea = a1 - a2; + + for (var i = (dir == 1 ? 0 : ds.length - 1), end = (dir == 1 ? ds.length : 0); i !== end; i += dir) { + var x1 = ds[ i ][ 1 ] * dir, + y1 = ds[ i ][ 2 ]; + + var lni2 = y1 * width; + + if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) { + var d = ds[ i ][ 0 ]; + var idx2 = idx + (lni2 + x1), + i32y = buf32[ idx2 ]; + + var r3 = (i32y & 0xff), + g3 = (i32y >>> 8) & 0xff, + b3 = (i32y >>> 16) & 0xff, + a3 = (i32y >>> 24) & 0xff; + + var r4 = Math.max(0, Math.min(255, r3 + er * d)), + g4 = Math.max(0, Math.min(255, g3 + eg * d)), + b4 = Math.max(0, Math.min(255, b3 + eb * d)), + a4 = Math.max(0, Math.min(255, a3 + ea * d)); + + buf32[ idx2 ] = ( + (a4 << 24) | // alpha + (b4 << 16) | // blue + (g4 << 8) | // green + r4 // red + ) >>> 0; + + //if(this.idxi32.indexOf(buf32[idx2]) < 0) throw new Error("no palette entry!"); + } + } + } + } + + //(console).profileEnd("dither"); + return buf32; + } + + // reduces histogram to palette, remaps & memoizes reduced colors + public buildPal(noSort?) { + if (this.palLocked || this.idxrgb.length > 0 && this.idxrgb.length <= this.colors) return; + + var histG = this.histogram, + sorted = sortedHashKeys(histG, true); + + if (sorted.length == 0) + throw "Nothing has been sampled, palette cannot be built."; + + switch (this.method) { + case 1: + var cols = this.initColors, + last = sorted[ cols - 1 ], + freq = histG[ last ]; + + var idxi32 = sorted.slice(0, cols); + + // add any cut off colors with same freq as last + var pos = cols, len = sorted.length; + while (pos < len && histG[ sorted[ pos ] ] == freq) + idxi32.push(sorted[ pos++ ]); + + // inject min huegroup colors + if (this.hueStats) + this.hueStats.inject(idxi32); + + break; + case 2: + var idxi32 = sorted; + break; + } + + // int32-ify values + idxi32 = idxi32.map(function (v) { + return +v; + }); + + this.reducePal(idxi32); + + if (!noSort && this.reIndex) + this.sortPal(); + + // build cache of top histogram colors + if (this.useCache) + this.cacheHistogram(idxi32); + + this.palLocked = true; + } + + public palette(tuples, noSort) : any { + this.buildPal(noSort); + return tuples ? this.idxrgb : new Uint8Array((new Uint32Array(this.idxi32)).buffer); + } + + public prunePal(keep) { + var i32; + + for (var j = 0; j < this.idxrgb.length; j++) { + if (!keep[ j ]) { + i32 = this.idxi32[ j ]; + this.idxrgb[ j ] = null; + this.idxi32[ j ] = null; + delete this.i32idx[ i32 ]; + } + } + + // compact + if (this.reIndex) { + var idxrgb = [], + idxi32 = [], + i32idx = {}; + + for (var j = 0, i = 0; j < this.idxrgb.length; j++) { + if (this.idxrgb[ j ]) { + i32 = this.idxi32[ j ]; + idxrgb[ i ] = this.idxrgb[ j ]; + i32idx[ i32 ] = i; + idxi32[ i ] = i32; + i++; + } + } + + this.idxrgb = idxrgb; + this.idxi32 = idxi32; + this.i32idx = i32idx; + } + } + + // reduces similar colors from an importance-sorted Uint32 rgba array + public reducePal(idxi32) { + // if pre-defined palette's length exceeds target + if (this.idxrgb.length > this.colors) { + // quantize histogram to existing palette + var len = idxi32.length, keep = {}, uniques = 0, idx, pruned = false; + + for (var i = 0; i < len; i++) { + // palette length reached, unset all remaining colors (sparse palette) + if (uniques == this.colors && !pruned) { + this.prunePal(keep); + pruned = true; + } + + idx = this.nearestIndex(idxi32[ i ]); + + if (uniques < this.colors && !keep[ idx ]) { + keep[ idx ] = true; + uniques++; + } + } + + if (!pruned) { + this.prunePal(keep); + pruned = true; + } + } + // reduce histogram to create initial palette + else { + // build full rgb palette + var idxrgb = idxi32.map(function (i32) { + return [ + (i32 & 0xff), + (i32 >>> 8) & 0xff, + (i32 >>> 16) & 0xff, + (i32 >>> 24) & 0xff + ]; + }); + + var len = idxrgb.length, + palLen = len, + thold = this.initDist; + + // palette already at or below desired length + if (palLen > this.colors) { + while (palLen > this.colors) { + var memDist = []; + + // iterate palette + for (var i = 0; i < len; i++) { + var pxi = idxrgb[ i ], i32i = idxi32[ i ]; + if (!pxi) continue; + + for (var j = i + 1; j < len; j++) { + var pxj = idxrgb[ j ], i32j = idxi32[ j ]; + if (!pxj) continue; + + var dist = distEuclidean(pxi, pxj); + + if (dist < thold) { + // store index,rgb,dist + memDist.push([ j, pxj, i32j, dist ]); + + // kill squashed value + delete(idxrgb[ j ]); + palLen--; + } + } + } + + // palette reduction pass + // console.log("palette length: " + palLen); + + // if palette is still much larger than target, increment by larger initDist + thold += (palLen > this.colors * 3) ? this.initDist : this.distIncr; + } + + // if palette is over-reduced, re-add removed colors with largest distances from last round + if (palLen < this.colors) { + // sort descending + sort.call(memDist, function (a, b) { + return b[ 3 ] - a[ 3 ]; + }); + + var k = 0; + while (palLen < this.colors) { + // re-inject rgb into final palette + idxrgb[ memDist[ k ][ 0 ] ] = memDist[ k ][ 1 ]; + + palLen++; + k++; + } + } + } + + var len = idxrgb.length; + for (var i = 0; i < len; i++) { + if (!idxrgb[ i ]) continue; + + this.idxrgb.push(idxrgb[ i ]); + this.idxi32.push(idxi32[ i ]); + + this.i32idx[ idxi32[ i ] ] = this.idxi32.length - 1; + this.i32rgb[ idxi32[ i ] ] = idxrgb[ i ]; + } + } + } + + // global top-population + public colorStats1D(buf32) { + var histG = this.histogram, + num = 0, col, + len = buf32.length; + + for (var i = 0; i < len; i++) { + col = buf32[ i ]; + + // skip transparent + if ((col & 0xff000000) >> 24 == 0) continue; + + // collect hue stats + if (this.hueStats) + this.hueStats.check(col); + + if (col in histG) + histG[ col ]++; + else + histG[ col ] = 1; + } + } + + // population threshold within subregions + // FIXME: this can over-reduce (few/no colors same?), need a way to keep + // important colors that dont ever reach local thresholds (gradients?) + public colorStats2D(buf32, width) { + var boxW = this.boxSize[ 0 ], + boxH = this.boxSize[ 1 ], + area = boxW * boxH, + boxes = makeBoxes(width, buf32.length / width, boxW, boxH), + histG = this.histogram; + + boxes.forEach(function (box) { + var effc = Math.max(Math.round((box.w * box.h) / area) * this.boxPxls, 2), + histL = {}, col; + + this.iterBox(box, width, function (i) { + col = buf32[ i ]; + + // skip transparent + if ((col & 0xff000000) >> 24 == 0) return; + + // collect hue stats + if (this.hueStats) + this.hueStats.check(col); + + if (col in histG) + histG[ col ]++; + else if (col in histL) { + if (++histL[ col ] >= effc) + histG[ col ] = histL[ col ]; + } + else + histL[ col ] = 1; + }); + }, this); + + if (this.hueStats) + this.hueStats.inject(histG); + } + + // TODO: group very low lum and very high lum colors + // TODO: pass custom sort order + public sortPal() { + var self = this; + + this.idxi32.sort(function (a, b) { + var idxA = self.i32idx[ a ], + idxB = self.i32idx[ b ], + rgbA = self.idxrgb[ idxA ], + rgbB = self.idxrgb[ idxB ]; + + var hslA = rgb2hsl(rgbA[ 0 ], rgbA[ 1 ], rgbA[ 2 ]), + hslB = rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); + + // sort all grays + whites together + var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : hueGroup(hslA.h, self.hueGroups); + var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : hueGroup(hslB.h, self.hueGroups); + + var hueDiff = hueB - hueA; + if (hueDiff) return -hueDiff; + + var lumDiff = lumGroup(+hslB.l.toFixed(2)) - lumGroup(+hslA.l.toFixed(2)); + if (lumDiff) return -lumDiff; + + var satDiff = satGroup(+hslB.s.toFixed(2)) - satGroup(+hslA.s.toFixed(2)); + if (satDiff) return -satDiff; + }); + + // sync idxrgb & i32idx + this.idxi32.forEach(function (i32, i) { + this.idxrgb[ i ] = this.i32rgb[ i32 ]; + this.i32idx[ i32 ] = i; + }, this); + } + + // iterates @bbox within a parent rect of width @wid; calls @fn, passing index within parent + public iterBox(bbox, wid, fn) { + var b = bbox, + i0 = b.y * wid + b.x, + i1 = (b.y + b.h - 1) * wid + (b.x + b.w - 1), + cnt = 0, incr = wid - b.w + 1, i = i0; + + do { + fn.call(this, i); + i += (++cnt % b.w == 0) ? incr : 1; + } while (i <= i1); + } + + // TOTRY: use HUSL - http://boronine.com/husl/ + public nearestColor(i32) { + var idx = this.nearestIndex(i32); + return idx === null ? 0 : this.idxi32[ idx ]; + } + + // TOTRY: use HUSL - http://boronine.com/husl/ + public nearestIndex(i32) { + // alpha 0 returns null index + if ((i32 & 0xff000000) >> 24 == 0) + return null; + + if (this.useCache && ("" + i32) in this.i32idx) + return this.i32idx[ i32 ]; + + var min = 1000, + idx, + rgb = [ + (i32 & 0xff), + (i32 >>> 8) & 0xff, + (i32 >>> 16) & 0xff, + (i32 >>> 24) & 0xff + ], + len = this.idxrgb.length; + + for (var i = 0; i < len; i++) { + if (!this.idxrgb[ i ]) continue; // sparse palettes + + var dist = distEuclidean(rgb, this.idxrgb[ i ]); + + if (dist < min) { + min = dist; + idx = i; + } + } + + return idx; + } + + public cacheHistogram(idxi32) { + for (var i = 0, i32 = idxi32[ i ]; i < idxi32.length && this.histogram[ i32 ] >= this.cacheFreq; i32 = idxi32[ i++ ]) + this.i32idx[ i32 ] = this.nearestIndex(i32); + } + } + + class HueStats { + private numGroups; + private minCols; + private stats; + private groupsFull; + + constructor(numGroups, minCols) { + this.numGroups = numGroups; + this.minCols = minCols; + this.stats = {}; + + for (var i = -1; i < numGroups; i++) + this.stats[ i ] = {num: 0, cols: []}; + + this.groupsFull = 0; + } + + public check(i32) { + if (this.groupsFull == this.numGroups + 1) + this.check = function () { + }; + + var r = (i32 & 0xff), + g = (i32 >>> 8) & 0xff, + b = (i32 >>> 16) & 0xff, + a = (i32 >>> 24) & 0xff, + hg = (r == g && g == b) ? -1 : hueGroup(rgb2hsl(r, g, b).h, this.numGroups), + gr = this.stats[ hg ], + min = this.minCols; + + gr.num++; + + if (gr.num > min) + return; + if (gr.num == min) + this.groupsFull++; + + if (gr.num <= min) + this.stats[ hg ].cols.push(i32); + } + + public inject(histG) { + for (var i = -1; i < this.numGroups; i++) { + if (this.stats[ i ].num <= this.minCols) { + switch (typeOf(histG)) { + case "Array": + this.stats[ i ].cols.forEach(function (col) { + if (histG.indexOf(col) == -1) + histG.push(col); + }); + break; + case "Object": + this.stats[ i ].cols.forEach(function (col) { + if (!histG[ col ]) + histG[ col ] = 1; + else + histG[ col ]++; + }); + break; + } + } + } + } + } +} diff --git a/src/rgbquant.js b/src/rgbquant.js index f57e644..cff0e8d 100644 --- a/src/rgbquant.js +++ b/src/rgbquant.js @@ -14,7 +14,7 @@ // desired final palette size this.colors = opts.colors || 256; // # of highest-frequency colors to start with for palette reduction - this.initColors = opts.initColors || 4096; + this.initColors = this.colors << 2;//opts.initColors || 65536; //4096; // color-distance threshold for initial reduction pass this.initDist = opts.initDist || 0.01; // subsequent passes threshold @@ -24,7 +24,7 @@ this.satGroups = opts.satGroups || 10; this.lumGroups = opts.lumGroups || 10; // if > 0, enables hues stats and min-color retention per group - this.minHueCols = opts.minHueCols || 0; + this.minHueCols = this.colors << 2;//opts.minHueCols || 0; // HueStats instance this.hueStats = this.minHueCols ? new HueStats(this.hueGroups, this.minHueCols) : null; @@ -40,7 +40,7 @@ // dithering/error diffusion kernel name this.dithKern = opts.dithKern || null; // dither serpentine pattern - this.dithSerp = opts.dithSerp || false; + this.dithSerp = true; //opts.dithSerp || false; // minimum color difference (0-1) needed to dither this.dithDelta = opts.dithDelta || 0; @@ -107,18 +107,20 @@ retType = retType || 1; // reduce w/dither + var buf32; if (dithKern) - var out32 = this.dither(img, dithKern, dithSerp); + buf32 = this.dither(img, dithKern, dithSerp); else { - var data = getImageData(img), - buf32 = data.buf32, - len = buf32.length, - out32 = new Uint32Array(len); + var data = getImageData(img); + buf32 = data.buf32; + } - for (var i = 0; i < len; i++) { - var i32 = buf32[i]; - out32[i] = this.nearestColor(i32); - } + var len = buf32.length, + out32 = new Uint32Array(len); + + for (var i = 0; i < len; i++) { + var i32 = buf32[i]; + out32[i] = this.nearestColor(i32); } if (retType == 1) @@ -137,94 +139,94 @@ } }; + // http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/ + var kernels = { + FloydSteinberg: [ + [7 / 16, 1, 0], + [3 / 16, -1, 1], + [5 / 16, 0, 1], + [1 / 16, 1, 1] + ], + FalseFloydSteinberg: [ + [3 / 8, 1, 0], + [3 / 8, 0, 1], + [2 / 8, 1, 1] + ], + Stucki: [ + [8 / 42, 1, 0], + [4 / 42, 2, 0], + [2 / 42, -2, 1], + [4 / 42, -1, 1], + [8 / 42, 0, 1], + [4 / 42, 1, 1], + [2 / 42, 2, 1], + [1 / 42, -2, 2], + [2 / 42, -1, 2], + [4 / 42, 0, 2], + [2 / 42, 1, 2], + [1 / 42, 2, 2] + ], + Atkinson: [ + [1 / 8, 1, 0], + [1 / 8, 2, 0], + [1 / 8, -1, 1], + [1 / 8, 0, 1], + [1 / 8, 1, 1], + [1 / 8, 0, 2] + ], + Jarvis: [ // Jarvis, Judice, and Ninke / JJN? + [7 / 48, 1, 0], + [5 / 48, 2, 0], + [3 / 48, -2, 1], + [5 / 48, -1, 1], + [7 / 48, 0, 1], + [5 / 48, 1, 1], + [3 / 48, 2, 1], + [1 / 48, -2, 2], + [3 / 48, -1, 2], + [5 / 48, 0, 2], + [3 / 48, 1, 2], + [1 / 48, 2, 2] + ], + Burkes: [ + [8 / 32, 1, 0], + [4 / 32, 2, 0], + [2 / 32, -2, 1], + [4 / 32, -1, 1], + [8 / 32, 0, 1], + [4 / 32, 1, 1], + [2 / 32, 2, 1], + ], + Sierra: [ + [5 / 32, 1, 0], + [3 / 32, 2, 0], + [2 / 32, -2, 1], + [4 / 32, -1, 1], + [5 / 32, 0, 1], + [4 / 32, 1, 1], + [2 / 32, 2, 1], + [2 / 32, -1, 2], + [3 / 32, 0, 2], + [2 / 32, 1, 2] + ], + TwoSierra: [ + [4 / 16, 1, 0], + [3 / 16, 2, 0], + [1 / 16, -2, 1], + [2 / 16, -1, 1], + [3 / 16, 0, 1], + [2 / 16, 1, 1], + [1 / 16, 2, 1] + ], + SierraLite: [ + [2 / 4, 1, 0], + [1 / 4, -1, 1], + [1 / 4, 0, 1] + ] + }; + // adapted from http://jsbin.com/iXofIji/2/edit by PAEz RgbQuant.prototype.dither = function(img, kernel, serpentine) { - // http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/ - var kernels = { - FloydSteinberg: [ - [7 / 16, 1, 0], - [3 / 16, -1, 1], - [5 / 16, 0, 1], - [1 / 16, 1, 1] - ], - FalseFloydSteinberg: [ - [3 / 8, 1, 0], - [3 / 8, 0, 1], - [2 / 8, 1, 1] - ], - Stucki: [ - [8 / 42, 1, 0], - [4 / 42, 2, 0], - [2 / 42, -2, 1], - [4 / 42, -1, 1], - [8 / 42, 0, 1], - [4 / 42, 1, 1], - [2 / 42, 2, 1], - [1 / 42, -2, 2], - [2 / 42, -1, 2], - [4 / 42, 0, 2], - [2 / 42, 1, 2], - [1 / 42, 2, 2] - ], - Atkinson: [ - [1 / 8, 1, 0], - [1 / 8, 2, 0], - [1 / 8, -1, 1], - [1 / 8, 0, 1], - [1 / 8, 1, 1], - [1 / 8, 0, 2] - ], - Jarvis: [ // Jarvis, Judice, and Ninke / JJN? - [7 / 48, 1, 0], - [5 / 48, 2, 0], - [3 / 48, -2, 1], - [5 / 48, -1, 1], - [7 / 48, 0, 1], - [5 / 48, 1, 1], - [3 / 48, 2, 1], - [1 / 48, -2, 2], - [3 / 48, -1, 2], - [5 / 48, 0, 2], - [3 / 48, 1, 2], - [1 / 48, 2, 2] - ], - Burkes: [ - [8 / 32, 1, 0], - [4 / 32, 2, 0], - [2 / 32, -2, 1], - [4 / 32, -1, 1], - [8 / 32, 0, 1], - [4 / 32, 1, 1], - [2 / 32, 2, 1], - ], - Sierra: [ - [5 / 32, 1, 0], - [3 / 32, 2, 0], - [2 / 32, -2, 1], - [4 / 32, -1, 1], - [5 / 32, 0, 1], - [4 / 32, 1, 1], - [2 / 32, 2, 1], - [2 / 32, -1, 2], - [3 / 32, 0, 2], - [2 / 32, 1, 2], - ], - TwoSierra: [ - [4 / 16, 1, 0], - [3 / 16, 2, 0], - [1 / 16, -2, 1], - [2 / 16, -1, 1], - [3 / 16, 0, 1], - [2 / 16, 1, 1], - [1 / 16, 2, 1], - ], - SierraLite: [ - [2 / 4, 1, 0], - [1 / 4, -1, 1], - [1 / 4, 0, 1], - ] - }; - if (!kernel || !kernels[kernel]) { throw 'Unknown dithering kernel: ' + kernel; } @@ -240,6 +242,7 @@ var dir = serpentine ? -1 : 1; + console.profile("dither"); for (var y = 0; y < height; y++) { if (serpentine) dir = dir * -1; @@ -262,12 +265,7 @@ b2 = (i32x >>> 16) & 0xff, a2 = (i32x >>> 24) & 0xff; - buf32[idx] = ( - (a2 << 24) | // alpha - (b2 << 16) | // blue - (g2 << 8) | // green - r2 // red - ) >>> 0; + buf32[idx] = i32x; // dithering strength if (this.dithDelta) { @@ -290,12 +288,13 @@ if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) { var d = ds[i][0]; - var idx2 = idx + (lni2 + x1); + var idx2 = idx + (lni2 + x1), + i32y = buf32[idx2]; - var r3 = (buf32[idx2] & 0xff), - g3 = (buf32[idx2] >>> 8) & 0xff, - b3 = (buf32[idx2] >>> 16) & 0xff, - a3 = (buf32[idx2] >>> 24) & 0xff; + var r3 = (i32y & 0xff), + g3 = (i32y >>> 8) & 0xff, + b3 = (i32y >>> 16) & 0xff, + a3 = (i32y >>> 24) & 0xff; var r4 = Math.max(0, Math.min(255, r3 + er * d)), g4 = Math.max(0, Math.min(255, g3 + eg * d)), @@ -308,11 +307,13 @@ (g4 << 8) | // green r4 // red ) >>> 0; + + //if(this.idxi32.indexOf(buf32[idx2]) < 0) throw new Error("no palette entry!"); } } } } - + console.profileEnd("dither"); return buf32; }; @@ -678,7 +679,7 @@ HueStats.prototype.check = function checkHue(i32) { if (this.groupsFull == this.numGroups + 1) - this.check = function() {return;}; + this.check = function() {}; var r = (i32 & 0xff), g = (i32 >>> 8) & 0xff, @@ -764,6 +765,72 @@ return (Pr*rd + Pg*gd + Pb*bd + Pa*ad) / manhMax; } + /* + Finally, I've found it! After thorough testing and experimentation my conclusions are: + +The correct way is to calculate maximum possible difference between the two colors. +Formulas with any kind of estimated average/typical difference had room for non-linearities. + +I was unable to find correct formula that calculates the distance without blending RGBA colors with backgrounds. + +There is no need to take every possible background color into account, only extremes per R/G/B channel, i.e. for red channel: + +blend both colors with 0 red as background, measure squared difference +blend both colors with max red background, measure squared difference +take higher of the two. +Fortunately blending with "white" and "black" is trivial when you use premultiplied alpha (r = r×a). + +The complete formula is: + max((r?-r?)², (r?-r? - a?+a?)²) + +max((g?-g?)², (g?-g? - a?+a?)²) + +max((b?-b?)², (b?-b? - a?+a?)²) + */ + function colordifference_ch(x, y, alphas) { + // maximum of channel blended on white, and blended on black + // premultiplied alpha and backgrounds 0/1 shorten the formula + var black = x - y, // [-255; 255] + white = black + alphas; // [-255; 255*2] + + return Math.max(black*black, white*white); // [0; 255^2 + (255*2)^2] + } + + //var rgbaMax = (255*255 + (255*2) * (255*2)) * 3; + var rgbaMax = Math.pow(255<<1, 2) * 3; + + function distRGBA(rgb0, rgb1) { +/* + var r1 = rgb0[0], + g1 = rgb0[1], + b1 = rgb0[2], + a1 = rgb0[3]; + + var r2 = rgb1[0], + g2 = rgb1[1], + b2 = rgb1[2], + a2 = rgb1[3]; + + var dr = r1 - r2, + dg = g1 - g2, + db = b1 - b2, + da = a1 - a2; + + return (Math.max(dr << 1, dr - da << 1) + + Math.max(dg << 1, dg - da << 1) + + Math.max(db << 1, db - da << 1)) / rgbaMax; + +*/ + var alphas = rgb1[3] - rgb0[3], + dist = colordifference_ch(rgb0[0], rgb1[0], alphas) + + colordifference_ch(rgb0[1], rgb1[1], alphas) + + colordifference_ch(rgb0[2], rgb1[2], alphas); + + if(dist > rgbaMax) { + console.log(dist); + } + + return dist / rgbaMax; + } + // http://rgb2hsl.nichabi.com/javascript-function.php function rgb2hsl(r, g, b) { var max, min, h, s, l, d; From e9d329f1e9e974cc92fc626f72089237156639ee Mon Sep 17 00:00:00 2001 From: igorbz Date: Wed, 13 May 2015 19:03:46 +0300 Subject: [PATCH 05/23] hueStatistics refactoring started --- {src => ts}/build.cmd | 0 {src => ts}/colorQuant.ts | 74 +++------------------------------------ ts/hueStatistics.ts | 69 ++++++++++++++++++++++++++++++++++++ 3 files changed, 74 insertions(+), 69 deletions(-) rename {src => ts}/build.cmd (100%) rename {src => ts}/colorQuant.ts (94%) create mode 100644 ts/hueStatistics.ts diff --git a/src/build.cmd b/ts/build.cmd similarity index 100% rename from src/build.cmd rename to ts/build.cmd diff --git a/src/colorQuant.ts b/ts/colorQuant.ts similarity index 94% rename from src/colorQuant.ts rename to ts/colorQuant.ts index fc288bc..38f5ada 100644 --- a/src/colorQuant.ts +++ b/ts/colorQuant.ts @@ -5,6 +5,7 @@ * RgbQuant.js - an image quantization lib */ +/// module ColorQuantization { // Rec. 709 (sRGB) luma coef @@ -22,7 +23,6 @@ module ColorQuantization { ); } - // http://rgb2hsl.nichabi.com/javascript-function.php function rgb2hsl(r, g, b) { var max, min, h, s, l, d; @@ -411,8 +411,8 @@ module ColorQuantization { // if > 0, enables hues stats and min-color retention per group private minHueCols : number; - // HueStats instance - private hueStats : HueStats; + // HueStatistics instance + private hueStats : HueStatistics; // subregion partitioning box size private boxSize = [ 64, 64 ]; @@ -473,8 +473,8 @@ module ColorQuantization { // if > 0, enables hues stats and min-color retention per group this.minHueCols = this.colors << 2;//opts.minHueCols || 0; - // HueStats instance - this.hueStats = this.minHueCols ? new HueStats(this.hueGroups, this.minHueCols) : null; + // HueStatistics instance + this.hueStats = this.minHueCols ? new HueStatistics(this.hueGroups, this.minHueCols) : null; // dithering/error diffusion kernel name if (typeof this.dithKern === "number") this.dithKern = opts.dithKern; @@ -1009,68 +1009,4 @@ module ColorQuantization { } } - class HueStats { - private numGroups; - private minCols; - private stats; - private groupsFull; - - constructor(numGroups, minCols) { - this.numGroups = numGroups; - this.minCols = minCols; - this.stats = {}; - - for (var i = -1; i < numGroups; i++) - this.stats[ i ] = {num: 0, cols: []}; - - this.groupsFull = 0; - } - - public check(i32) { - if (this.groupsFull == this.numGroups + 1) - this.check = function () { - }; - - var r = (i32 & 0xff), - g = (i32 >>> 8) & 0xff, - b = (i32 >>> 16) & 0xff, - a = (i32 >>> 24) & 0xff, - hg = (r == g && g == b) ? -1 : hueGroup(rgb2hsl(r, g, b).h, this.numGroups), - gr = this.stats[ hg ], - min = this.minCols; - - gr.num++; - - if (gr.num > min) - return; - if (gr.num == min) - this.groupsFull++; - - if (gr.num <= min) - this.stats[ hg ].cols.push(i32); - } - - public inject(histG) { - for (var i = -1; i < this.numGroups; i++) { - if (this.stats[ i ].num <= this.minCols) { - switch (typeOf(histG)) { - case "Array": - this.stats[ i ].cols.forEach(function (col) { - if (histG.indexOf(col) == -1) - histG.push(col); - }); - break; - case "Object": - this.stats[ i ].cols.forEach(function (col) { - if (!histG[ col ]) - histG[ col ] = 1; - else - histG[ col ]++; - }); - break; - } - } - } - } - } } diff --git a/ts/hueStatistics.ts b/ts/hueStatistics.ts new file mode 100644 index 0000000..dc7052d --- /dev/null +++ b/ts/hueStatistics.ts @@ -0,0 +1,69 @@ +module ColorQuantization { + + export class HueStatistics { + private _numGroups; + private _minCols; + private _stats; + private _groupsFull; + + constructor(numGroups, minCols) { + this._numGroups = numGroups; + this._minCols = minCols; + this._stats = {}; + + for (var i = -1; i < numGroups; i++) + this._stats[ i ] = {num: 0, cols: []}; + + this._groupsFull = 0; + } + + public check(i32) { + if (this._groupsFull == this._numGroups + 1) { + this.check = function () { + }; + } + + var r = (i32 & 0xff), + g = (i32 >>> 8) & 0xff, + b = (i32 >>> 16) & 0xff, + a = (i32 >>> 24) & 0xff, + hg = (r == g && g == b) ? -1 : hueGroup(rgb2hsl(r, g, b).h, this._numGroups), + gr = this._stats[ hg ], + min = this._minCols; + + gr.num++; + + if (gr.num > min) + return; + if (gr.num == min) + this._groupsFull++; + + if (gr.num <= min) + this._stats[ hg ].cols.push(i32); + } + + public inject(histG) { + for (var i = -1; i < this._numGroups; i++) { + if (this._stats[ i ].num <= this._minCols) { + switch (typeOf(histG)) { + case "Array": + this._stats[ i ].cols.forEach(function (col) { + if (histG.indexOf(col) == -1) + histG.push(col); + }); + break; + case "Object": + this._stats[ i ].cols.forEach(function (col) { + if (!histG[ col ]) + histG[ col ] = 1; + else + histG[ col ]++; + }); + break; + } + } + } + } + } + +} From 4a738b2656a419adf980780b02e75f47139ee90c Mon Sep 17 00:00:00 2001 From: Igor Date: Wed, 13 May 2015 22:30:43 +0300 Subject: [PATCH 06/23] stable --- demo/index.html | 2 +- ts/colorQuant.ts | 625 +++++++++----------------------------------- ts/dither.ts | 90 +++++++ ts/hueStatistics.ts | 19 +- ts/point.ts | 52 ++++ ts/utils.ts | 297 +++++++++++++++++++++ 6 files changed, 579 insertions(+), 506 deletions(-) create mode 100644 ts/dither.ts create mode 100644 ts/point.ts create mode 100644 ts/utils.ts diff --git a/demo/index.html b/demo/index.html index d6c0fc3..b41649d 100644 --- a/demo/index.html +++ b/demo/index.html @@ -7,7 +7,7 @@ - + diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 38f5ada..fc8dd43 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -6,487 +6,114 @@ */ /// +/// +/// module ColorQuantization { - // Rec. 709 (sRGB) luma coef - var Pr = .2126, - Pg = .7152, - Pb = .0722, - Pa = 1; // TODO: (igor-bezkrovny) what should be here? - - // http://alienryderflex.com/hsp.html - function rgb2lum(r, g, b) { - return Math.sqrt( - Pr * r * r + - Pg * g * g + - Pb * b * b - ); - } - - // http://rgb2hsl.nichabi.com/javascript-function.php - function rgb2hsl(r, g, b) { - var max, min, h, s, l, d; - r /= 255; - g /= 255; - b /= 255; - max = Math.max(r, g, b); - min = Math.min(r, g, b); - l = (max + min) / 2; - if (max == min) { - h = s = 0; - } else { - d = max - min; - s = l > 0.5 ? d / (2 - max - min) : d / (max + min); - switch (max) { - case r: - h = (g - b) / d + (g < b ? 6 : 0); - break; - case g: - h = (b - r) / d + 2; - break; - case b: - h = (r - g) / d + 4; - break - } - h /= 6; - } -// h = Math.floor(h * 360) -// s = Math.floor(s * 100) -// l = Math.floor(l * 100) - return { - h: h, - s: s, - l: rgb2lum(r, g, b) - }; - } - - function hueGroup(hue, segs) { - var seg = 1 / segs, - haf = seg / 2; - - if (hue >= 1 - haf || hue <= haf) - return 0; - - for (var i = 1; i < segs; i++) { - var mid = i * seg; - if (hue >= mid - haf && hue <= mid + haf) - return i; - } - } - - function satGroup(sat) { - return sat; - } - - function lumGroup(lum) { - return lum; - } - - function typeOf(val) { - return Object.prototype.toString.call(val).slice(8, -1); - } - - var sort = isArrSortStable() ? Array.prototype.sort : stableSort; - - // must be used via stableSort.call(arr, fn) - function stableSort(fn) { - var type = typeOf(this[ 0 ]); - - if (type == "Number" || type == "String") { - var ord = {}, len = this.length, val; - - for (var i = 0; i < len; i++) { - val = this[ i ]; - if (ord[ val ] || ord[ val ] === 0) continue; - ord[ val ] = i; - } - - return this.sort(function (a, b) { - return fn(a, b) || ord[ a ] - ord[ b ]; - }); - } - else { - var ord2 = this.map(function (v) { - return v - }); - - return this.sort(function (a, b) { - return fn(a, b) || ord2.indexOf(a) - ord2.indexOf(b); - }); - } - } - - // test if js engine's Array#sort implementation is stable - function isArrSortStable() { - var str = "abcdefghijklmnopqrstuvwxyz"; - - return "xyzvwtursopqmnklhijfgdeabc" == str.split("").sort(function (a, b) { - return ~~(str.indexOf(b) / 2.3) - ~~(str.indexOf(a) / 2.3); - }).join(""); - } - - // returns uniform pixel data from various img - // TODO?: if array is passed, createimagedata, createlement canvas? take a pxlen? - function getImageData(img, width?) { - var can, ctx, imgd, buf8, buf32, height; - - switch (typeOf(img)) { - case "HTMLImageElement": - can = document.createElement("canvas"); - can.width = img.naturalWidth; - can.height = img.naturalHeight; - ctx = can.getContext("2d"); - ctx.drawImage(img, 0, 0); - case "Canvas": - case "HTMLCanvasElement": - can = can || img; - ctx = ctx || can.getContext("2d"); - case "CanvasRenderingContext2D": - ctx = ctx || img; - can = can || ctx.canvas; - imgd = ctx.getImageData(0, 0, can.width, can.height); - case "ImageData": - imgd = imgd || img; - width = imgd.width; - if (typeOf(imgd.data) == "CanvasPixelArray") - buf8 = new Uint8Array(imgd.data); - else - buf8 = imgd.data; - case "Array": - case "CanvasPixelArray": - buf8 = buf8 || new Uint8Array(img); - case "Uint8Array": - case "Uint8ClampedArray": - buf8 = buf8 || img; - buf32 = new Uint32Array(buf8.buffer); - case "Uint32Array": - buf32 = buf32 || img; - buf8 = buf8 || new Uint8Array(buf32.buffer); - width = width || buf32.length; - height = buf32.length / width; - } - - return { - can : can, - ctx : ctx, - imgd : imgd, - buf8 : buf8, - buf32 : buf32, - width : width, - height: height - }; - } - - // partitions a rect of wid x hgt into - // array of bboxes of w0 x h0 (or less) - function makeBoxes(wid, hgt, w0, h0) { - var wnum = ~~(wid / w0), wrem = wid % w0, - hnum = ~~(hgt / h0), hrem = hgt % h0, - xend = wid - wrem, yend = hgt - hrem; - - var bxs = []; - for (var y = 0; y < hgt; y += h0) - for (var x = 0; x < wid; x += w0) - bxs.push({x: x, y: y, w: (x == xend ? wrem : w0), h: (y == yend ? hrem : h0)}); - - return bxs; - } - - // returns array of hash keys sorted by their values - function sortedHashKeys(obj, desc) { - var keys = []; - - for (var key in obj) - keys.push(key); - - return sort.call(keys, function (a, b) { - return desc ? obj[ b ] - obj[ a ] : obj[ a ] - obj[ b ]; - }); - } - - var rd = 255, - gd = 255, - bd = 255, - ad = 255; - - var euclMax = Math.sqrt(Pr * rd * rd + Pg * gd * gd + Pb * bd * bd + Pa * ad * ad); - // perceptual Euclidean color distance - function distEuclidean(rgb0, rgb1) { - var rd = rgb1[ 0 ] - rgb0[ 0 ], - gd = rgb1[ 1 ] - rgb0[ 1 ], - bd = rgb1[ 2 ] - rgb0[ 2 ], - ad = rgb1[ 3 ] - rgb0[ 3 ]; - - return Math.sqrt(Pr * rd * rd + Pg * gd * gd + Pb * bd * bd + Pa * ad * ad) / euclMax; - } - - var manhMax = Pr * rd + Pg * gd + Pb * bd + Pa * ad; - // perceptual Manhattan color distance - function distManhattan(rgb0, rgb1) { - var rd = Math.abs(rgb1[ 0 ] - rgb0[ 0 ]), - gd = Math.abs(rgb1[ 1 ] - rgb0[ 1 ]), - bd = Math.abs(rgb1[ 2 ] - rgb0[ 2 ]), - ad = Math.abs(rgb1[ 3 ] - rgb0[ 3 ]); - - return (Pr * rd + Pg * gd + Pb * bd + Pa * ad) / manhMax; - } - - /* - Finally, I've found it! After thorough testing and experimentation my conclusions are: - - The correct way is to calculate maximum possible difference between the two colors. - Formulas with any kind of estimated average/typical difference had room for non-linearities. - - I was unable to find correct formula that calculates the distance without blending RGBA colors with backgrounds. - - There is no need to take every possible background color into account, only extremes per R/G/B channel, i.e. for red channel: - - blend both colors with 0 red as background, measure squared difference - blend both colors with max red background, measure squared difference - take higher of the two. - Fortunately blending with "white" and "black" is trivial when you use premultiplied alpha (r = r×a). - - The complete formula is: - max((r?-r?)², (r?-r? - a?+a?)²) + - max((g?-g?)², (g?-g? - a?+a?)²) + - max((b?-b?)², (b?-b? - a?+a?)²) - */ - function colordifference_ch(x, y, alphas) { - // maximum of channel blended on white, and blended on black - // premultiplied alpha and backgrounds 0/1 shorten the formula - var black = x - y, // [-255; 255] - white = black + alphas; // [-255; 255*2] - - return Math.max(black * black, white * white); // [0; 255^2 + (255*2)^2] - } - - //var rgbaMax = (255*255 + (255*2) * (255*2)) * 3; - var rgbaMax = Math.pow(255 << 1, 2) * 3; - - function distRGBA(rgb0, rgb1) { - /* - var r1 = rgb0[0], - g1 = rgb0[1], - b1 = rgb0[2], - a1 = rgb0[3]; - - var r2 = rgb1[0], - g2 = rgb1[1], - b2 = rgb1[2], - a2 = rgb1[3]; - - var dr = r1 - r2, - dg = g1 - g2, - db = b1 - b2, - da = a1 - a2; - - return (Math.max(dr << 1, dr - da << 1) + - Math.max(dg << 1, dg - da << 1) + - Math.max(db << 1, db - da << 1)) / rgbaMax; - - */ - var alphas = rgb1[ 3 ] - rgb0[ 3 ], - dist = colordifference_ch(rgb0[ 0 ], rgb1[ 0 ], alphas) + - colordifference_ch(rgb0[ 1 ], rgb1[ 1 ], alphas) + - colordifference_ch(rgb0[ 2 ], rgb1[ 2 ], alphas); - - if (dist > rgbaMax) { - console.log(dist); - } - - return dist / rgbaMax; - } - - // http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/ - var kernels = { - FloydSteinberg : [ - [ 7 / 16, 1, 0 ], - [ 3 / 16, -1, 1 ], - [ 5 / 16, 0, 1 ], - [ 1 / 16, 1, 1 ] - ], - FalseFloydSteinberg: [ - [ 3 / 8, 1, 0 ], - [ 3 / 8, 0, 1 ], - [ 2 / 8, 1, 1 ] - ], - Stucki : [ - [ 8 / 42, 1, 0 ], - [ 4 / 42, 2, 0 ], - [ 2 / 42, -2, 1 ], - [ 4 / 42, -1, 1 ], - [ 8 / 42, 0, 1 ], - [ 4 / 42, 1, 1 ], - [ 2 / 42, 2, 1 ], - [ 1 / 42, -2, 2 ], - [ 2 / 42, -1, 2 ], - [ 4 / 42, 0, 2 ], - [ 2 / 42, 1, 2 ], - [ 1 / 42, 2, 2 ] - ], - Atkinson : [ - [ 1 / 8, 1, 0 ], - [ 1 / 8, 2, 0 ], - [ 1 / 8, -1, 1 ], - [ 1 / 8, 0, 1 ], - [ 1 / 8, 1, 1 ], - [ 1 / 8, 0, 2 ] - ], - Jarvis : [ // Jarvis, Judice, and Ninke / JJN? - [ 7 / 48, 1, 0 ], - [ 5 / 48, 2, 0 ], - [ 3 / 48, -2, 1 ], - [ 5 / 48, -1, 1 ], - [ 7 / 48, 0, 1 ], - [ 5 / 48, 1, 1 ], - [ 3 / 48, 2, 1 ], - [ 1 / 48, -2, 2 ], - [ 3 / 48, -1, 2 ], - [ 5 / 48, 0, 2 ], - [ 3 / 48, 1, 2 ], - [ 1 / 48, 2, 2 ] - ], - Burkes : [ - [ 8 / 32, 1, 0 ], - [ 4 / 32, 2, 0 ], - [ 2 / 32, -2, 1 ], - [ 4 / 32, -1, 1 ], - [ 8 / 32, 0, 1 ], - [ 4 / 32, 1, 1 ], - [ 2 / 32, 2, 1 ], - ], - Sierra : [ - [ 5 / 32, 1, 0 ], - [ 3 / 32, 2, 0 ], - [ 2 / 32, -2, 1 ], - [ 4 / 32, -1, 1 ], - [ 5 / 32, 0, 1 ], - [ 4 / 32, 1, 1 ], - [ 2 / 32, 2, 1 ], - [ 2 / 32, -1, 2 ], - [ 3 / 32, 0, 2 ], - [ 2 / 32, 1, 2 ] - ], - TwoSierra : [ - [ 4 / 16, 1, 0 ], - [ 3 / 16, 2, 0 ], - [ 1 / 16, -2, 1 ], - [ 2 / 16, -1, 1 ], - [ 3 / 16, 0, 1 ], - [ 2 / 16, 1, 1 ], - [ 1 / 16, 2, 1 ] - ], - SierraLite : [ - [ 2 / 4, 1, 0 ], - [ 1 / 4, -1, 1 ], - [ 1 / 4, 0, 1 ] - ] - }; - - export enum RgbQuantDitheringKernel { NONE = 0 } export class RgbQuant { // 1 = by global population, 2 = subregion population threshold - private method : number = 2; + private _method : number = 2; // desired final palette size - private colors : number = 256; + private _colors : number = 256; // # of highest-frequency colors to start with for palette reduction - private initColors : number; + private _initColors : number; // color-distance threshold for initial reduction pass - private initDist = 0.01; + private _initDist = 0.01; // subsequent passes threshold - private distIncr : number = 0.005; + private _distIncr : number = 0.005; // palette grouping - private hueGroups : number = 10; - private satGroups : number = 10; - private lumGroups : number = 10; + private _hueGroups : number = 10; + private _satGroups : number = 10; + private _lumGroups : number = 10; // if > 0, enables hues stats and min-color retention per group - private minHueCols : number; + private _minHueCols : number; // HueStatistics instance - private hueStats : HueStatistics; + private _hueStats : HueStatistics; // subregion partitioning box size - private boxSize = [ 64, 64 ]; + private _boxSize = [ 64, 64 ]; // number of same pixels required within box for histogram inclusion - private boxPxls = 2; + private _boxPxls = 2; // palette locked indicator - private palLocked = false; + private _palLocked = false; // palette sort order // this.sortPal = ['hue-','lum-','sat-']; // dithering/error diffusion kernel name - private dithKern : RgbQuantDitheringKernel = RgbQuantDitheringKernel.NONE; + private _dithKern : RgbQuantDitheringKernel = RgbQuantDitheringKernel.NONE; // dither serpentine pattern - private dithSerp = true; + private _dithSerp = true; // minimum color difference (0-1) needed to dither - private dithDelta = 0; + private _dithDelta = 0; // accumulated histogram - private histogram = {}; + private _histogram = {}; // palette - rgb triplets - private idxrgb = []; + private _idxrgb = []; // palette - int32 vals - private idxi32 = []; + private _idxi32 = []; // reverse lookup {i32:idx} - private i32idx = {}; + private _i32idx = {}; // {i32:rgb} - private i32rgb = {}; + private _i32rgb = {}; // enable color caching (also incurs overhead of cache misses and cache building) - private useCache = true; + private _useCache = true; // min color occurance count needed to qualify for caching - private cacheFreq = 10; + private _cacheFreq = 10; // allows pre-defined palettes to be re-indexed (enabling palette compacting and sorting) - private reIndex = true; + private _reIndex = true; - constructor(opts) { + // TODO: make interface for options + constructor(opts : any) { opts = opts || {}; // 1 = by global population, 2 = subregion population threshold - if (typeof opts.method === "number") this.method = opts.method; + if (typeof opts.method === "number") this._method = opts.method; // desired final palette size - if (typeof opts.colors === "number") this.colors = opts.colors; + if (typeof opts.colors === "number") this._colors = opts.colors; // # of highest-frequency colors to start with for palette reduction - this.initColors = this.colors << 2;//opts.initColors || 65536; //4096; + this._initColors = this._colors << 2;//opts.initColors || 65536; //4096; // if > 0, enables hues stats and min-color retention per group - this.minHueCols = this.colors << 2;//opts.minHueCols || 0; + this._minHueCols = this._colors << 2;//opts.minHueCols || 0; // HueStatistics instance - this.hueStats = this.minHueCols ? new HueStatistics(this.hueGroups, this.minHueCols) : null; + this._hueStats = this._minHueCols ? new HueStatistics(this._hueGroups, this._minHueCols) : null; // dithering/error diffusion kernel name - if (typeof this.dithKern === "number") this.dithKern = opts.dithKern; + if (typeof this._dithKern === "number") this._dithKern = opts.dithKern; // accumulated histogram - this.histogram = {}; + this._histogram = {}; // palette - rgb triplets - if (Object.prototype.toString.call(opts.palette) === "[object Array]") this.idxrgb = opts.palette.slice(0); + if (Object.prototype.toString.call(opts.palette) === "[object Array]") this._idxrgb = opts.palette.slice(0); // if pre-defined palette, build lookups - if (this.idxrgb.length > 0) { - this.idxrgb.forEach(function (rgb, i) { + if (this._idxrgb.length > 0) { + this._idxrgb.forEach(function (rgb, i) { var alpha = rgb.length >= 4 ? rgb[ 3 ] : 255, i32 = ( (alpha << 24) | // alpha @@ -495,21 +122,21 @@ module ColorQuantization { rgb[ 0 ] // red ) >>> 0; - this.idxi32[ i ] = i32; - this.i32idx[ i32 ] = i; - this.i32rgb[ i32 ] = rgb; + this._idxi32[ i ] = i32; + this._i32idx[ i32 ] = i; + this._i32rgb[ i32 ] = rgb; }, this); } } // gathers histogram info public sample(img, width) { - if (this.palLocked) + if (this._palLocked) throw "Cannot sample additional images, palette already assembled."; - var data = getImageData(img, width); + var data = Utils.getImageData(img, width); - switch (this.method) { + switch (this._method) { case 1: this.colorStats1D(data.buf32); break; @@ -523,11 +150,11 @@ module ColorQuantization { // todo: memoize colors here also // @retType: 1 - Uint8Array (default), 2 - Indexed array, 3 - Match @img type (unimplemented, todo) public reduce(img, retType, dithKern, dithSerp) : any { - if (!this.palLocked) + if (!this._palLocked) this.buildPal(); - dithKern = dithKern || this.dithKern; - dithSerp = typeof dithSerp != "undefined" ? dithSerp : this.dithSerp; + dithKern = dithKern || this._dithKern; + dithSerp = typeof dithSerp != "undefined" ? dithSerp : this._dithSerp; retType = retType || 1; @@ -536,7 +163,7 @@ module ColorQuantization { if (dithKern) buf32 = this.dither(img, dithKern, dithSerp); else { - var data = getImageData(img); + var data = Utils.getImageData(img); buf32 = data.buf32; } @@ -557,7 +184,7 @@ module ColorQuantization { for (var i = 0; i < len; i++) { var i32 : number = out32[ i ]; - out[ i ] = this.i32idx[ i32 ]; + out[ i ] = this._i32idx[ i32 ]; } return out; @@ -572,7 +199,7 @@ module ColorQuantization { var ds = kernels[ kernel ]; - var data = getImageData(img), + var data = Utils.getImageData(img), // buf8 = data.buf8, buf32 = data.buf32, width = data.width, @@ -607,9 +234,9 @@ module ColorQuantization { buf32[ idx ] = i32x; // dithering strength - if (this.dithDelta) { - var dist = distEuclidean([ r1, g1, b1, a1 ], [ r2, g2, b2, a2 ]); - if (dist < this.dithDelta) + if (this._dithDelta) { + var dist = Utils.distEuclidean([ r1, g1, b1, a1 ], [ r2, g2, b2, a2 ]); + if (dist < this._dithDelta) continue; } @@ -659,17 +286,17 @@ module ColorQuantization { // reduces histogram to palette, remaps & memoizes reduced colors public buildPal(noSort?) { - if (this.palLocked || this.idxrgb.length > 0 && this.idxrgb.length <= this.colors) return; + if (this._palLocked || this._idxrgb.length > 0 && this._idxrgb.length <= this._colors) return; - var histG = this.histogram, - sorted = sortedHashKeys(histG, true); + var histG = this._histogram, + sorted = Utils.sortedHashKeys(histG, true); if (sorted.length == 0) throw "Nothing has been sampled, palette cannot be built."; - switch (this.method) { + switch (this._method) { case 1: - var cols = this.initColors, + var cols = this._initColors, last = sorted[ cols - 1 ], freq = histG[ last ]; @@ -681,8 +308,8 @@ module ColorQuantization { idxi32.push(sorted[ pos++ ]); // inject min huegroup colors - if (this.hueStats) - this.hueStats.inject(idxi32); + if (this._hueStats) + this._hueStats.inject(idxi32); break; case 2: @@ -697,72 +324,72 @@ module ColorQuantization { this.reducePal(idxi32); - if (!noSort && this.reIndex) + if (!noSort && this._reIndex) this.sortPal(); // build cache of top histogram colors - if (this.useCache) + if (this._useCache) this.cacheHistogram(idxi32); - this.palLocked = true; + this._palLocked = true; } public palette(tuples, noSort) : any { this.buildPal(noSort); - return tuples ? this.idxrgb : new Uint8Array((new Uint32Array(this.idxi32)).buffer); + return tuples ? this._idxrgb : new Uint8Array((new Uint32Array(this._idxi32)).buffer); } public prunePal(keep) { var i32; - for (var j = 0; j < this.idxrgb.length; j++) { + for (var j = 0; j < this._idxrgb.length; j++) { if (!keep[ j ]) { - i32 = this.idxi32[ j ]; - this.idxrgb[ j ] = null; - this.idxi32[ j ] = null; - delete this.i32idx[ i32 ]; + i32 = this._idxi32[ j ]; + this._idxrgb[ j ] = null; + this._idxi32[ j ] = null; + delete this._i32idx[ i32 ]; } } // compact - if (this.reIndex) { + if (this._reIndex) { var idxrgb = [], idxi32 = [], i32idx = {}; - for (var j = 0, i = 0; j < this.idxrgb.length; j++) { - if (this.idxrgb[ j ]) { - i32 = this.idxi32[ j ]; - idxrgb[ i ] = this.idxrgb[ j ]; + for (var j = 0, i = 0; j < this._idxrgb.length; j++) { + if (this._idxrgb[ j ]) { + i32 = this._idxi32[ j ]; + idxrgb[ i ] = this._idxrgb[ j ]; i32idx[ i32 ] = i; idxi32[ i ] = i32; i++; } } - this.idxrgb = idxrgb; - this.idxi32 = idxi32; - this.i32idx = i32idx; + this._idxrgb = idxrgb; + this._idxi32 = idxi32; + this._i32idx = i32idx; } } // reduces similar colors from an importance-sorted Uint32 rgba array public reducePal(idxi32) { // if pre-defined palette's length exceeds target - if (this.idxrgb.length > this.colors) { + if (this._idxrgb.length > this._colors) { // quantize histogram to existing palette var len = idxi32.length, keep = {}, uniques = 0, idx, pruned = false; for (var i = 0; i < len; i++) { // palette length reached, unset all remaining colors (sparse palette) - if (uniques == this.colors && !pruned) { + if (uniques == this._colors && !pruned) { this.prunePal(keep); pruned = true; } idx = this.nearestIndex(idxi32[ i ]); - if (uniques < this.colors && !keep[ idx ]) { + if (uniques < this._colors && !keep[ idx ]) { keep[ idx ] = true; uniques++; } @@ -787,11 +414,11 @@ module ColorQuantization { var len = idxrgb.length, palLen = len, - thold = this.initDist; + thold = this._initDist; // palette already at or below desired length - if (palLen > this.colors) { - while (palLen > this.colors) { + if (palLen > this._colors) { + while (palLen > this._colors) { var memDist = []; // iterate palette @@ -803,7 +430,7 @@ module ColorQuantization { var pxj = idxrgb[ j ], i32j = idxi32[ j ]; if (!pxj) continue; - var dist = distEuclidean(pxi, pxj); + var dist = Utils.distEuclidean(pxi, pxj); if (dist < thold) { // store index,rgb,dist @@ -820,18 +447,18 @@ module ColorQuantization { // console.log("palette length: " + palLen); // if palette is still much larger than target, increment by larger initDist - thold += (palLen > this.colors * 3) ? this.initDist : this.distIncr; + thold += (palLen > this._colors * 3) ? this._initDist : this._distIncr; } // if palette is over-reduced, re-add removed colors with largest distances from last round - if (palLen < this.colors) { + if (palLen < this._colors) { // sort descending - sort.call(memDist, function (a, b) { + Utils.sort.call(memDist, function (a, b) { return b[ 3 ] - a[ 3 ]; }); var k = 0; - while (palLen < this.colors) { + while (palLen < this._colors) { // re-inject rgb into final palette idxrgb[ memDist[ k ][ 0 ] ] = memDist[ k ][ 1 ]; @@ -845,18 +472,18 @@ module ColorQuantization { for (var i = 0; i < len; i++) { if (!idxrgb[ i ]) continue; - this.idxrgb.push(idxrgb[ i ]); - this.idxi32.push(idxi32[ i ]); + this._idxrgb.push(idxrgb[ i ]); + this._idxi32.push(idxi32[ i ]); - this.i32idx[ idxi32[ i ] ] = this.idxi32.length - 1; - this.i32rgb[ idxi32[ i ] ] = idxrgb[ i ]; + this._i32idx[ idxi32[ i ] ] = this._idxi32.length - 1; + this._i32rgb[ idxi32[ i ] ] = idxrgb[ i ]; } } } // global top-population public colorStats1D(buf32) { - var histG = this.histogram, + var histG = this._histogram, num = 0, col, len = buf32.length; @@ -867,8 +494,8 @@ module ColorQuantization { if ((col & 0xff000000) >> 24 == 0) continue; // collect hue stats - if (this.hueStats) - this.hueStats.check(col); + if (this._hueStats) + this._hueStats.check(col); if (col in histG) histG[ col ]++; @@ -881,14 +508,14 @@ module ColorQuantization { // FIXME: this can over-reduce (few/no colors same?), need a way to keep // important colors that dont ever reach local thresholds (gradients?) public colorStats2D(buf32, width) { - var boxW = this.boxSize[ 0 ], - boxH = this.boxSize[ 1 ], + var boxW = this._boxSize[ 0 ], + boxH = this._boxSize[ 1 ], area = boxW * boxH, - boxes = makeBoxes(width, buf32.length / width, boxW, boxH), - histG = this.histogram; + boxes = Utils.makeBoxes(width, buf32.length / width, boxW, boxH), + histG = this._histogram; boxes.forEach(function (box) { - var effc = Math.max(Math.round((box.w * box.h) / area) * this.boxPxls, 2), + var effc = Math.max(Math.round((box.w * box.h) / area) * this._boxPxls, 2), histL = {}, col; this.iterBox(box, width, function (i) { @@ -898,8 +525,8 @@ module ColorQuantization { if ((col & 0xff000000) >> 24 == 0) return; // collect hue stats - if (this.hueStats) - this.hueStats.check(col); + if (this._hueStats) + this._hueStats.check(col); if (col in histG) histG[ col ]++; @@ -912,8 +539,8 @@ module ColorQuantization { }); }, this); - if (this.hueStats) - this.hueStats.inject(histG); + if (this._hueStats) + this._hueStats.inject(histG); } // TODO: group very low lum and very high lum colors @@ -921,33 +548,33 @@ module ColorQuantization { public sortPal() { var self = this; - this.idxi32.sort(function (a, b) { - var idxA = self.i32idx[ a ], - idxB = self.i32idx[ b ], - rgbA = self.idxrgb[ idxA ], - rgbB = self.idxrgb[ idxB ]; + this._idxi32.sort(function (a, b) { + var idxA = self._i32idx[ a ], + idxB = self._i32idx[ b ], + rgbA = self._idxrgb[ idxA ], + rgbB = self._idxrgb[ idxB ]; - var hslA = rgb2hsl(rgbA[ 0 ], rgbA[ 1 ], rgbA[ 2 ]), - hslB = rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); + var hslA = Utils.rgb2hsl(rgbA[ 0 ], rgbA[ 1 ], rgbA[ 2 ]), + hslB = Utils.rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); // sort all grays + whites together - var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : hueGroup(hslA.h, self.hueGroups); - var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : hueGroup(hslB.h, self.hueGroups); + var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, self._hueGroups); + var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, self._hueGroups); var hueDiff = hueB - hueA; if (hueDiff) return -hueDiff; - var lumDiff = lumGroup(+hslB.l.toFixed(2)) - lumGroup(+hslA.l.toFixed(2)); + var lumDiff = Utils.lumGroup(+hslB.l.toFixed(2)) - Utils.lumGroup(+hslA.l.toFixed(2)); if (lumDiff) return -lumDiff; - var satDiff = satGroup(+hslB.s.toFixed(2)) - satGroup(+hslA.s.toFixed(2)); + var satDiff = Utils.satGroup(+hslB.s.toFixed(2)) - Utils.satGroup(+hslA.s.toFixed(2)); if (satDiff) return -satDiff; }); // sync idxrgb & i32idx - this.idxi32.forEach(function (i32, i) { - this.idxrgb[ i ] = this.i32rgb[ i32 ]; - this.i32idx[ i32 ] = i; + this._idxi32.forEach(function (i32, i) { + this._idxrgb[ i ] = this._i32rgb[ i32 ]; + this._i32idx[ i32 ] = i; }, this); } @@ -967,7 +594,7 @@ module ColorQuantization { // TOTRY: use HUSL - http://boronine.com/husl/ public nearestColor(i32) { var idx = this.nearestIndex(i32); - return idx === null ? 0 : this.idxi32[ idx ]; + return idx === null ? 0 : this._idxi32[ idx ]; } // TOTRY: use HUSL - http://boronine.com/husl/ @@ -976,8 +603,8 @@ module ColorQuantization { if ((i32 & 0xff000000) >> 24 == 0) return null; - if (this.useCache && ("" + i32) in this.i32idx) - return this.i32idx[ i32 ]; + if (this._useCache && ("" + i32) in this._i32idx) + return this._i32idx[ i32 ]; var min = 1000, idx, @@ -987,12 +614,12 @@ module ColorQuantization { (i32 >>> 16) & 0xff, (i32 >>> 24) & 0xff ], - len = this.idxrgb.length; + len = this._idxrgb.length; for (var i = 0; i < len; i++) { - if (!this.idxrgb[ i ]) continue; // sparse palettes + if (!this._idxrgb[ i ]) continue; // sparse palettes - var dist = distEuclidean(rgb, this.idxrgb[ i ]); + var dist = Utils.distEuclidean(rgb, this._idxrgb[ i ]); if (dist < min) { min = dist; @@ -1004,8 +631,8 @@ module ColorQuantization { } public cacheHistogram(idxi32) { - for (var i = 0, i32 = idxi32[ i ]; i < idxi32.length && this.histogram[ i32 ] >= this.cacheFreq; i32 = idxi32[ i++ ]) - this.i32idx[ i32 ] = this.nearestIndex(i32); + for (var i = 0, i32 = idxi32[ i ]; i < idxi32.length && this._histogram[ i32 ] >= this._cacheFreq; i32 = idxi32[ i++ ]) + this._i32idx[ i32 ] = this.nearestIndex(i32); } } diff --git a/ts/dither.ts b/ts/dither.ts new file mode 100644 index 0000000..74ee792 --- /dev/null +++ b/ts/dither.ts @@ -0,0 +1,90 @@ +module ColorQuantization { + + // http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/ + export var kernels = { + FloydSteinberg : [ + [ 7 / 16, 1, 0 ], + [ 3 / 16, -1, 1 ], + [ 5 / 16, 0, 1 ], + [ 1 / 16, 1, 1 ] + ], + FalseFloydSteinberg: [ + [ 3 / 8, 1, 0 ], + [ 3 / 8, 0, 1 ], + [ 2 / 8, 1, 1 ] + ], + Stucki : [ + [ 8 / 42, 1, 0 ], + [ 4 / 42, 2, 0 ], + [ 2 / 42, -2, 1 ], + [ 4 / 42, -1, 1 ], + [ 8 / 42, 0, 1 ], + [ 4 / 42, 1, 1 ], + [ 2 / 42, 2, 1 ], + [ 1 / 42, -2, 2 ], + [ 2 / 42, -1, 2 ], + [ 4 / 42, 0, 2 ], + [ 2 / 42, 1, 2 ], + [ 1 / 42, 2, 2 ] + ], + Atkinson : [ + [ 1 / 8, 1, 0 ], + [ 1 / 8, 2, 0 ], + [ 1 / 8, -1, 1 ], + [ 1 / 8, 0, 1 ], + [ 1 / 8, 1, 1 ], + [ 1 / 8, 0, 2 ] + ], + Jarvis : [ // Jarvis, Judice, and Ninke / JJN? + [ 7 / 48, 1, 0 ], + [ 5 / 48, 2, 0 ], + [ 3 / 48, -2, 1 ], + [ 5 / 48, -1, 1 ], + [ 7 / 48, 0, 1 ], + [ 5 / 48, 1, 1 ], + [ 3 / 48, 2, 1 ], + [ 1 / 48, -2, 2 ], + [ 3 / 48, -1, 2 ], + [ 5 / 48, 0, 2 ], + [ 3 / 48, 1, 2 ], + [ 1 / 48, 2, 2 ] + ], + Burkes : [ + [ 8 / 32, 1, 0 ], + [ 4 / 32, 2, 0 ], + [ 2 / 32, -2, 1 ], + [ 4 / 32, -1, 1 ], + [ 8 / 32, 0, 1 ], + [ 4 / 32, 1, 1 ], + [ 2 / 32, 2, 1 ], + ], + Sierra : [ + [ 5 / 32, 1, 0 ], + [ 3 / 32, 2, 0 ], + [ 2 / 32, -2, 1 ], + [ 4 / 32, -1, 1 ], + [ 5 / 32, 0, 1 ], + [ 4 / 32, 1, 1 ], + [ 2 / 32, 2, 1 ], + [ 2 / 32, -1, 2 ], + [ 3 / 32, 0, 2 ], + [ 2 / 32, 1, 2 ] + ], + TwoSierra : [ + [ 4 / 16, 1, 0 ], + [ 3 / 16, 2, 0 ], + [ 1 / 16, -2, 1 ], + [ 2 / 16, -1, 1 ], + [ 3 / 16, 0, 1 ], + [ 2 / 16, 1, 1 ], + [ 1 / 16, 2, 1 ] + ], + SierraLite : [ + [ 2 / 4, 1, 0 ], + [ 1 / 4, -1, 1 ], + [ 1 / 4, 0, 1 ] + ] + }; + + +} diff --git a/ts/hueStatistics.ts b/ts/hueStatistics.ts index dc7052d..bd8489f 100644 --- a/ts/hueStatistics.ts +++ b/ts/hueStatistics.ts @@ -1,18 +1,25 @@ +/// module ColorQuantization { + class HueGroup { + public num : number = 0; + public cols : number[] = []; + } + export class HueStatistics { private _numGroups; private _minCols; private _stats; private _groupsFull; - constructor(numGroups, minCols) { + constructor(numGroups : number, minCols : number) { this._numGroups = numGroups; this._minCols = minCols; this._stats = {}; - for (var i = -1; i < numGroups; i++) - this._stats[ i ] = {num: 0, cols: []}; + for (var i = -1; i < numGroups; i++) { + this._stats[i] = new HueGroup(); + } this._groupsFull = 0; } @@ -27,8 +34,8 @@ module ColorQuantization { g = (i32 >>> 8) & 0xff, b = (i32 >>> 16) & 0xff, a = (i32 >>> 24) & 0xff, - hg = (r == g && g == b) ? -1 : hueGroup(rgb2hsl(r, g, b).h, this._numGroups), - gr = this._stats[ hg ], + hg = (r == g && g == b) ? -1 : Utils.hueGroup(Utils.rgb2hsl(r, g, b).h, this._numGroups), + gr : HueGroup = this._stats[ hg ], min = this._minCols; gr.num++; @@ -45,7 +52,7 @@ module ColorQuantization { public inject(histG) { for (var i = -1; i < this._numGroups; i++) { if (this._stats[ i ].num <= this._minCols) { - switch (typeOf(histG)) { + switch (Utils.typeOf(histG)) { case "Array": this._stats[ i ].cols.forEach(function (col) { if (histG.indexOf(col) == -1) diff --git a/ts/point.ts b/ts/point.ts new file mode 100644 index 0000000..fec3fc9 --- /dev/null +++ b/ts/point.ts @@ -0,0 +1,52 @@ +module ColorQuantization { + + export class Point { + public r : number; + public g : number; + public b : number; + public a : number; + public uint32 : number; + + constructor(...args : number[]) { + this.set(args); + } + + public set(...args) { + switch(args.length) { + case 1: + this.uint32 = args[0]; + + this._loadRGBA(); + break; + + case 4: + this.r = args[0]; + this.g = args[1]; + this.b = args[2]; + this.a = args[3]; + this._loadUINT32(); + break; + + default: + throw new Error("Point.constructor/set should have parameter/s"); + } + } + + private _loadUINT32() { + this.uint32 = ( + (this.a << 24) | // alpha + (this.b << 16) | // blue + (this.g << 8) | // green + this.r // red + ) >>> 0; + } + + private _loadRGBA() { + this.r = this.uint32 & 0xff; + this.g = (this.uint32 >>> 8) & 0xff; + this.b = (this.uint32 >>> 16) & 0xff; + this.a = (this.uint32 >>> 24) & 0xff; + } + } + +} diff --git a/ts/utils.ts b/ts/utils.ts new file mode 100644 index 0000000..ac3c3d2 --- /dev/null +++ b/ts/utils.ts @@ -0,0 +1,297 @@ +module ColorQuantization.Utils { + + // Rec. 709 (sRGB) luma coef + var Pr = .2126, + Pg = .7152, + Pb = .0722, + Pa = 1; // TODO: (igor-bezkrovny) what should be here? + + // test if js engine's Array#sort implementation is stable + function isArrSortStable() { + var str = "abcdefghijklmnopqrstuvwxyz"; + + return "xyzvwtursopqmnklhijfgdeabc" == str.split("").sort(function (a, b) { + return ~~(str.indexOf(b) / 2.3) - ~~(str.indexOf(a) / 2.3); + }).join(""); + } + + // TODO: move to separate file like "utils.ts" - it is used by colorQuant too! + export function typeOf(val) { + return Object.prototype.toString.call(val).slice(8, -1); + } + + // http://alienryderflex.com/hsp.html + export function rgb2lum(r, g, b) { + return Math.sqrt( + Pr * r * r + + Pg * g * g + + Pb * b * b + ); + } + + // http://rgb2hsl.nichabi.com/javascript-function.php + export function rgb2hsl(r, g, b) { + var max, min, h, s, l, d; + r /= 255; + g /= 255; + b /= 255; + max = Math.max(r, g, b); + min = Math.min(r, g, b); + l = (max + min) / 2; + if (max == min) { + h = s = 0; + } else { + d = max - min; + s = l > 0.5 ? d / (2 - max - min) : d / (max + min); + switch (max) { + case r: + h = (g - b) / d + (g < b ? 6 : 0); + break; + case g: + h = (b - r) / d + 2; + break; + case b: + h = (r - g) / d + 4; + break + } + h /= 6; + } +// h = Math.floor(h * 360) +// s = Math.floor(s * 100) +// l = Math.floor(l * 100) + return { + h: h, + s: s, + l: rgb2lum(r, g, b) + }; + } + + export function hueGroup(hue, segs) { + var seg = 1 / segs, + haf = seg / 2; + + if (hue >= 1 - haf || hue <= haf) + return 0; + + for (var i = 1; i < segs; i++) { + var mid = i * seg; + if (hue >= mid - haf && hue <= mid + haf) + return i; + } + } + + export function satGroup(sat) { + return sat; + } + + export function lumGroup(lum) { + return lum; + } + + export var sort = isArrSortStable() ? Array.prototype.sort : stableSort; + + // must be used via stableSort.call(arr, fn) + export function stableSort(fn) { + var type = typeOf(this[ 0 ]); + + if (type == "Number" || type == "String") { + var ord = {}, len = this.length, val; + + for (var i = 0; i < len; i++) { + val = this[ i ]; + if (ord[ val ] || ord[ val ] === 0) continue; + ord[ val ] = i; + } + + return this.sort(function (a, b) { + return fn(a, b) || ord[ a ] - ord[ b ]; + }); + } + else { + var ord2 = this.map(function (v) { + return v + }); + + return this.sort(function (a, b) { + return fn(a, b) || ord2.indexOf(a) - ord2.indexOf(b); + }); + } + } + + // returns uniform pixel data from various img + // TODO?: if array is passed, createimagedata, createlement canvas? take a pxlen? + export function getImageData(img, width?) { + var can, ctx, imgd, buf8, buf32, height; + + switch (typeOf(img)) { + case "HTMLImageElement": + can = document.createElement("canvas"); + can.width = img.naturalWidth; + can.height = img.naturalHeight; + ctx = can.getContext("2d"); + ctx.drawImage(img, 0, 0); + case "Canvas": + case "HTMLCanvasElement": + can = can || img; + ctx = ctx || can.getContext("2d"); + case "CanvasRenderingContext2D": + ctx = ctx || img; + can = can || ctx.canvas; + imgd = ctx.getImageData(0, 0, can.width, can.height); + case "ImageData": + imgd = imgd || img; + width = imgd.width; + if (typeOf(imgd.data) == "CanvasPixelArray") + buf8 = new Uint8Array(imgd.data); + else + buf8 = imgd.data; + case "Array": + case "CanvasPixelArray": + buf8 = buf8 || new Uint8Array(img); + case "Uint8Array": + case "Uint8ClampedArray": + buf8 = buf8 || img; + buf32 = new Uint32Array(buf8.buffer); + case "Uint32Array": + buf32 = buf32 || img; + buf8 = buf8 || new Uint8Array(buf32.buffer); + width = width || buf32.length; + height = buf32.length / width; + } + + return { + can : can, + ctx : ctx, + imgd : imgd, + buf8 : buf8, + buf32 : buf32, + width : width, + height: height + }; + } + + // partitions a rect of wid x hgt into + // array of bboxes of w0 x h0 (or less) + export function makeBoxes(wid, hgt, w0, h0) { + var wnum = ~~(wid / w0), wrem = wid % w0, + hnum = ~~(hgt / h0), hrem = hgt % h0, + xend = wid - wrem, yend = hgt - hrem; + + var bxs = []; + for (var y = 0; y < hgt; y += h0) + for (var x = 0; x < wid; x += w0) + bxs.push({x: x, y: y, w: (x == xend ? wrem : w0), h: (y == yend ? hrem : h0)}); + + return bxs; + } + + // returns array of hash keys sorted by their values + export function sortedHashKeys(obj, desc) { + var keys = []; + + for (var key in obj) + keys.push(key); + + return sort.call(keys, function (a, b) { + return desc ? obj[ b ] - obj[ a ] : obj[ a ] - obj[ b ]; + }); + } + + var rd = 255, + gd = 255, + bd = 255, + ad = 255; + + var euclMax = Math.sqrt(Pr * rd * rd + Pg * gd * gd + Pb * bd * bd + Pa * ad * ad); + // perceptual Euclidean color distance + export function distEuclidean(rgb0, rgb1) { + var rd = rgb1[ 0 ] - rgb0[ 0 ], + gd = rgb1[ 1 ] - rgb0[ 1 ], + bd = rgb1[ 2 ] - rgb0[ 2 ], + ad = rgb1[ 3 ] - rgb0[ 3 ]; + + return Math.sqrt(Pr * rd * rd + Pg * gd * gd + Pb * bd * bd + Pa * ad * ad) / euclMax; + } + +/* + var manhMax = Pr * rd + Pg * gd + Pb * bd + Pa * ad; + // perceptual Manhattan color distance + function distManhattan(rgb0, rgb1) { + var rd = Math.abs(rgb1[ 0 ] - rgb0[ 0 ]), + gd = Math.abs(rgb1[ 1 ] - rgb0[ 1 ]), + bd = Math.abs(rgb1[ 2 ] - rgb0[ 2 ]), + ad = Math.abs(rgb1[ 3 ] - rgb0[ 3 ]); + + return (Pr * rd + Pg * gd + Pb * bd + Pa * ad) / manhMax; + } +*/ + + /* + Finally, I've found it! After thorough testing and experimentation my conclusions are: + + The correct way is to calculate maximum possible difference between the two colors. + Formulas with any kind of estimated average/typical difference had room for non-linearities. + + I was unable to find correct formula that calculates the distance without blending RGBA colors with backgrounds. + + There is no need to take every possible background color into account, only extremes per R/G/B channel, i.e. for red channel: + + blend both colors with 0 red as background, measure squared difference + blend both colors with max red background, measure squared difference + take higher of the two. + Fortunately blending with "white" and "black" is trivial when you use premultiplied alpha (r = r×a). + + The complete formula is: + max((r?-r?)², (r?-r? - a?+a?)²) + + max((g?-g?)², (g?-g? - a?+a?)²) + + max((b?-b?)², (b?-b? - a?+a?)²) + */ +/* + function colordifference_ch(x, y, alphas) { + // maximum of channel blended on white, and blended on black + // premultiplied alpha and backgrounds 0/1 shorten the formula + var black = x - y, // [-255; 255] + white = black + alphas; // [-255; 255*2] + + return Math.max(black * black, white * white); // [0; 255^2 + (255*2)^2] + } + + //var rgbaMax = (255*255 + (255*2) * (255*2)) * 3; + var rgbaMax = Math.pow(255 << 1, 2) * 3; + + function distRGBA(rgb0, rgb1) { + /!* + var r1 = rgb0[0], + g1 = rgb0[1], + b1 = rgb0[2], + a1 = rgb0[3]; + + var r2 = rgb1[0], + g2 = rgb1[1], + b2 = rgb1[2], + a2 = rgb1[3]; + + var dr = r1 - r2, + dg = g1 - g2, + db = b1 - b2, + da = a1 - a2; + + return (Math.max(dr << 1, dr - da << 1) + + Math.max(dg << 1, dg - da << 1) + + Math.max(db << 1, db - da << 1)) / rgbaMax; + + *!/ + var alphas = rgb1[ 3 ] - rgb0[ 3 ], + dist = colordifference_ch(rgb0[ 0 ], rgb1[ 0 ], alphas) + + colordifference_ch(rgb0[ 1 ], rgb1[ 1 ], alphas) + + colordifference_ch(rgb0[ 2 ], rgb1[ 2 ], alphas); + + if (dist > rgbaMax) { + console.log(dist); + } + + return dist / rgbaMax; + } +*/ + +} From 72d64f22f8c9af1d25354d409ddb845e8d976c96 Mon Sep 17 00:00:00 2001 From: Igor Date: Wed, 13 May 2015 23:33:35 +0300 Subject: [PATCH 07/23] point added --- ts/build.cmd | 2 +- ts/colorQuant.ts | 139 ++++++++++++++++++++++------------------------- ts/point.ts | 31 +++++++++-- 3 files changed, 91 insertions(+), 81 deletions(-) diff --git a/ts/build.cmd b/ts/build.cmd index ba9abf4..b67f5aa 100644 --- a/ts/build.cmd +++ b/ts/build.cmd @@ -1,3 +1,3 @@ pushd %~dp0 -tsc colorQuant.ts --out colorQuant.js +tsc colorQuant.ts --sourcemap --out colorQuant.js popd diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index fc8dd43..d75458b 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -5,11 +5,13 @@ * RgbQuant.js - an image quantization lib */ +/// /// /// /// module ColorQuantization { + // TODO: make input/output image and input/output palettes with instances of class Point only! export enum RgbQuantDitheringKernel { NONE = 0 } @@ -64,11 +66,7 @@ module ColorQuantization { // accumulated histogram private _histogram = {}; - // palette - rgb triplets - private _idxrgb = []; - - // palette - int32 vals - private _idxi32 = []; + private _paletteArray : Point[] = []; // reverse lookup {i32:idx} private _i32idx = {}; @@ -109,22 +107,13 @@ module ColorQuantization { // accumulated histogram this._histogram = {}; // palette - rgb triplets - if (Object.prototype.toString.call(opts.palette) === "[object Array]") this._idxrgb = opts.palette.slice(0); + if (Object.prototype.toString.call(opts.palette) === "[object Array]") this._paletteArray = opts.palette.map(quadruplet => new Point(quadruplet)); // if pre-defined palette, build lookups - if (this._idxrgb.length > 0) { - this._idxrgb.forEach(function (rgb, i) { - var alpha = rgb.length >= 4 ? rgb[ 3 ] : 255, - i32 = ( - (alpha << 24) | // alpha - (rgb[ 2 ] << 16) | // blue - (rgb[ 1 ] << 8) | // green - rgb[ 0 ] // red - ) >>> 0; - - this._idxi32[ i ] = i32; - this._i32idx[ i32 ] = i; - this._i32rgb[ i32 ] = rgb; + if (this._paletteArray.length > 0) { + this._paletteArray.forEach(function (point : Point, i) { + this._i32idx[ point.uint32 ] = i; + this._i32rgb[ point.uint32 ] = point.rgba; }, this); } } @@ -172,7 +161,7 @@ module ColorQuantization { for (var i = 0; i < len; i++) { var i32 : number = buf32[ i ]; - out32[ i ] = this.nearestColor(i32); + out32[ i ] = this.nearestColor(i32).uint32; } if (retType == 1) @@ -208,7 +197,7 @@ module ColorQuantization { var dir = serpentine ? -1 : 1; - //(console).profile("dither"); + (console).profile("dither"); for (var y = 0; y < height; y++) { if (serpentine) dir = dir * -1; @@ -225,26 +214,22 @@ module ColorQuantization { a1 = (i32 >>> 24) & 0xff; // Reduced pixel - var i32x = this.nearestColor(i32), - r2 = (i32x & 0xff), - g2 = (i32x >>> 8) & 0xff, - b2 = (i32x >>> 16) & 0xff, - a2 = (i32x >>> 24) & 0xff; + var point = this.nearestColor(i32); - buf32[ idx ] = i32x; + buf32[ idx ] = point.uint32; // dithering strength if (this._dithDelta) { - var dist = Utils.distEuclidean([ r1, g1, b1, a1 ], [ r2, g2, b2, a2 ]); + var dist = Utils.distEuclidean([ r1, g1, b1, a1 ], point.rgba); if (dist < this._dithDelta) continue; } // Component distance - var er = r1 - r2, - eg = g1 - g2, - eb = b1 - b2, - ea = a1 - a2; + var er = r1 - point.r, + eg = g1 - point.g, + eb = b1 - point.b, + ea = a1 - point.a; for (var i = (dir == 1 ? 0 : ds.length - 1), end = (dir == 1 ? ds.length : 0); i !== end; i += dir) { var x1 = ds[ i ][ 1 ] * dir, @@ -280,13 +265,13 @@ module ColorQuantization { } } - //(console).profileEnd("dither"); + (console).profileEnd("dither"); return buf32; } // reduces histogram to palette, remaps & memoizes reduced colors public buildPal(noSort?) { - if (this._palLocked || this._idxrgb.length > 0 && this._idxrgb.length <= this._colors) return; + if (this._palLocked || this._paletteArray.length > 0 && this._paletteArray.length <= this._colors) return; var histG = this._histogram, sorted = Utils.sortedHashKeys(histG, true); @@ -336,18 +321,22 @@ module ColorQuantization { public palette(tuples, noSort) : any { this.buildPal(noSort); - return tuples ? this._idxrgb : new Uint8Array((new Uint32Array(this._idxi32)).buffer); + + var uint32Array = this._paletteArray.map(point => point.uint32); + return tuples ? this._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); } public prunePal(keep) { - var i32; + var /*i32,*/ + point : Point; - for (var j = 0; j < this._idxrgb.length; j++) { + for (var j = 0; j < this._paletteArray.length; j++) { if (!keep[ j ]) { - i32 = this._idxi32[ j ]; - this._idxrgb[ j ] = null; - this._idxi32[ j ] = null; - delete this._i32idx[ i32 ]; + point = this._paletteArray[ j ]; + this._paletteArray[j] = null; + + // TODO: check if we need to delete also this._i32rgb ???? + delete this._i32idx[ point.uint32 ];// TODO: delete is forbidden operator!!! } } @@ -355,20 +344,19 @@ module ColorQuantization { if (this._reIndex) { var idxrgb = [], idxi32 = [], - i32idx = {}; - - for (var j = 0, i = 0; j < this._idxrgb.length; j++) { - if (this._idxrgb[ j ]) { - i32 = this._idxi32[ j ]; - idxrgb[ i ] = this._idxrgb[ j ]; - i32idx[ i32 ] = i; - idxi32[ i ] = i32; + i32idx = {}, + compactedPaletteArray : Point[] = []; + + for (var j = 0, i = 0; j < this._paletteArray.length; j++) { + if (this._paletteArray[ j ]) { + point = this._paletteArray[j]; + compactedPaletteArray[i] = point; + i32idx[ point.uint32 ] = i; i++; } } - this._idxrgb = idxrgb; - this._idxi32 = idxi32; + this._paletteArray = compactedPaletteArray; this._i32idx = i32idx; } } @@ -376,7 +364,7 @@ module ColorQuantization { // reduces similar colors from an importance-sorted Uint32 rgba array public reducePal(idxi32) { // if pre-defined palette's length exceeds target - if (this._idxrgb.length > this._colors) { + if (this._paletteArray.length > this._colors) { // quantize histogram to existing palette var len = idxi32.length, keep = {}, uniques = 0, idx, pruned = false; @@ -472,11 +460,11 @@ module ColorQuantization { for (var i = 0; i < len; i++) { if (!idxrgb[ i ]) continue; - this._idxrgb.push(idxrgb[ i ]); - this._idxi32.push(idxi32[ i ]); + var point : Point = new Point(idxrgb[i]); + this._paletteArray.push(point); - this._i32idx[ idxi32[ i ] ] = this._idxi32.length - 1; - this._i32rgb[ idxi32[ i ] ] = idxrgb[ i ]; + this._i32idx[ point.uint32 ] = this._paletteArray.length - 1; + this._i32rgb[ point.uint32 ] = idxrgb[ i ]; } } } @@ -546,20 +534,16 @@ module ColorQuantization { // TODO: group very low lum and very high lum colors // TODO: pass custom sort order public sortPal() { - var self = this; - - this._idxi32.sort(function (a, b) { - var idxA = self._i32idx[ a ], - idxB = self._i32idx[ b ], - rgbA = self._idxrgb[ idxA ], - rgbB = self._idxrgb[ idxB ]; + this._paletteArray.sort((a : Point, b : Point) => { + var rgbA = a.rgba, + rgbB = b.rgba; var hslA = Utils.rgb2hsl(rgbA[ 0 ], rgbA[ 1 ], rgbA[ 2 ]), hslB = Utils.rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); // sort all grays + whites together - var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, self._hueGroups); - var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, self._hueGroups); + var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, this._hueGroups); + var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, this._hueGroups); var hueDiff = hueB - hueA; if (hueDiff) return -hueDiff; @@ -572,9 +556,8 @@ module ColorQuantization { }); // sync idxrgb & i32idx - this._idxi32.forEach(function (i32, i) { - this._idxrgb[ i ] = this._i32rgb[ i32 ]; - this._i32idx[ i32 ] = i; + this._paletteArray.forEach(function (point : Point, i) { + this._i32idx[ point.uint32 ] = i; }, this); } @@ -592,19 +575,23 @@ module ColorQuantization { } // TOTRY: use HUSL - http://boronine.com/husl/ - public nearestColor(i32) { + public nearestColor(i32) : Point { var idx = this.nearestIndex(i32); - return idx === null ? 0 : this._idxi32[ idx ]; + if(idx === null) throw new Error("color i32 should be 0, but why null?"); + return this._paletteArray[ idx ]; } // TOTRY: use HUSL - http://boronine.com/husl/ public nearestIndex(i32) { +/* // alpha 0 returns null index if ((i32 & 0xff000000) >> 24 == 0) return null; +*/ - if (this._useCache && ("" + i32) in this._i32idx) - return this._i32idx[ i32 ]; + if (this._useCache && ("" + i32) in this._i32idx) { + return this._i32idx[i32]; + } var min = 1000, idx, @@ -614,12 +601,12 @@ module ColorQuantization { (i32 >>> 16) & 0xff, (i32 >>> 24) & 0xff ], - len = this._idxrgb.length; + len = this._paletteArray.length; for (var i = 0; i < len; i++) { - if (!this._idxrgb[ i ]) continue; // sparse palettes + if (!this._paletteArray[ i ]) continue; // sparse palettes - var dist = Utils.distEuclidean(rgb, this._idxrgb[ i ]); + var dist = Utils.distEuclidean(rgb, this._paletteArray[ i ].rgba); if (dist < min) { min = dist; @@ -627,6 +614,8 @@ module ColorQuantization { } } + if(typeof idx === "undefined") throw new Error("x"); + return idx; } diff --git a/ts/point.ts b/ts/point.ts index fec3fc9..5ce5eed 100644 --- a/ts/point.ts +++ b/ts/point.ts @@ -6,17 +6,27 @@ module ColorQuantization { public b : number; public a : number; public uint32 : number; + public rgba : number[]; // TODO: better name is quadruplet or quad may be? constructor(...args : number[]) { - this.set(args); + this.set(...args); } - public set(...args) { + public set(...args : number[]) { switch(args.length) { case 1: - this.uint32 = args[0]; - - this._loadRGBA(); + if(typeof args[0] === "number") { + this.uint32 = args[0]; + this._loadRGBA(); + } else if(Utils.typeOf(args[0]) === "Array") { + this.r = args[0][0]; + this.g = args[0][1]; + this.b = args[0][2]; + this.a = args[0][3]; + this._loadUINT32(); + } else { + throw new Error("Point.constructor/set: unsupported single parameter"); + } break; case 4: @@ -30,6 +40,8 @@ module ColorQuantization { default: throw new Error("Point.constructor/set should have parameter/s"); } + + this._loadQuadruplet(); } private _loadUINT32() { @@ -47,6 +59,15 @@ module ColorQuantization { this.b = (this.uint32 >>> 16) & 0xff; this.a = (this.uint32 >>> 24) & 0xff; } + + private _loadQuadruplet() { + this.rgba = [ + this.r, + this.g, + this.b, + this.a + ]; + } } } From b418e5e0a954e843fc5873629ab18f7225bb6cbb Mon Sep 17 00:00:00 2001 From: Igor Date: Wed, 13 May 2015 23:33:35 +0300 Subject: [PATCH 08/23] point added --- ts/build.cmd | 2 +- ts/colorQuant.ts | 139 ++++++++++++++++++++++------------------------- ts/point.js | 69 +++++++++++++++++++++++ ts/point.ts | 31 +++++++++-- 4 files changed, 160 insertions(+), 81 deletions(-) create mode 100644 ts/point.js diff --git a/ts/build.cmd b/ts/build.cmd index ba9abf4..b67f5aa 100644 --- a/ts/build.cmd +++ b/ts/build.cmd @@ -1,3 +1,3 @@ pushd %~dp0 -tsc colorQuant.ts --out colorQuant.js +tsc colorQuant.ts --sourcemap --out colorQuant.js popd diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index fc8dd43..d75458b 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -5,11 +5,13 @@ * RgbQuant.js - an image quantization lib */ +/// /// /// /// module ColorQuantization { + // TODO: make input/output image and input/output palettes with instances of class Point only! export enum RgbQuantDitheringKernel { NONE = 0 } @@ -64,11 +66,7 @@ module ColorQuantization { // accumulated histogram private _histogram = {}; - // palette - rgb triplets - private _idxrgb = []; - - // palette - int32 vals - private _idxi32 = []; + private _paletteArray : Point[] = []; // reverse lookup {i32:idx} private _i32idx = {}; @@ -109,22 +107,13 @@ module ColorQuantization { // accumulated histogram this._histogram = {}; // palette - rgb triplets - if (Object.prototype.toString.call(opts.palette) === "[object Array]") this._idxrgb = opts.palette.slice(0); + if (Object.prototype.toString.call(opts.palette) === "[object Array]") this._paletteArray = opts.palette.map(quadruplet => new Point(quadruplet)); // if pre-defined palette, build lookups - if (this._idxrgb.length > 0) { - this._idxrgb.forEach(function (rgb, i) { - var alpha = rgb.length >= 4 ? rgb[ 3 ] : 255, - i32 = ( - (alpha << 24) | // alpha - (rgb[ 2 ] << 16) | // blue - (rgb[ 1 ] << 8) | // green - rgb[ 0 ] // red - ) >>> 0; - - this._idxi32[ i ] = i32; - this._i32idx[ i32 ] = i; - this._i32rgb[ i32 ] = rgb; + if (this._paletteArray.length > 0) { + this._paletteArray.forEach(function (point : Point, i) { + this._i32idx[ point.uint32 ] = i; + this._i32rgb[ point.uint32 ] = point.rgba; }, this); } } @@ -172,7 +161,7 @@ module ColorQuantization { for (var i = 0; i < len; i++) { var i32 : number = buf32[ i ]; - out32[ i ] = this.nearestColor(i32); + out32[ i ] = this.nearestColor(i32).uint32; } if (retType == 1) @@ -208,7 +197,7 @@ module ColorQuantization { var dir = serpentine ? -1 : 1; - //(console).profile("dither"); + (console).profile("dither"); for (var y = 0; y < height; y++) { if (serpentine) dir = dir * -1; @@ -225,26 +214,22 @@ module ColorQuantization { a1 = (i32 >>> 24) & 0xff; // Reduced pixel - var i32x = this.nearestColor(i32), - r2 = (i32x & 0xff), - g2 = (i32x >>> 8) & 0xff, - b2 = (i32x >>> 16) & 0xff, - a2 = (i32x >>> 24) & 0xff; + var point = this.nearestColor(i32); - buf32[ idx ] = i32x; + buf32[ idx ] = point.uint32; // dithering strength if (this._dithDelta) { - var dist = Utils.distEuclidean([ r1, g1, b1, a1 ], [ r2, g2, b2, a2 ]); + var dist = Utils.distEuclidean([ r1, g1, b1, a1 ], point.rgba); if (dist < this._dithDelta) continue; } // Component distance - var er = r1 - r2, - eg = g1 - g2, - eb = b1 - b2, - ea = a1 - a2; + var er = r1 - point.r, + eg = g1 - point.g, + eb = b1 - point.b, + ea = a1 - point.a; for (var i = (dir == 1 ? 0 : ds.length - 1), end = (dir == 1 ? ds.length : 0); i !== end; i += dir) { var x1 = ds[ i ][ 1 ] * dir, @@ -280,13 +265,13 @@ module ColorQuantization { } } - //(console).profileEnd("dither"); + (console).profileEnd("dither"); return buf32; } // reduces histogram to palette, remaps & memoizes reduced colors public buildPal(noSort?) { - if (this._palLocked || this._idxrgb.length > 0 && this._idxrgb.length <= this._colors) return; + if (this._palLocked || this._paletteArray.length > 0 && this._paletteArray.length <= this._colors) return; var histG = this._histogram, sorted = Utils.sortedHashKeys(histG, true); @@ -336,18 +321,22 @@ module ColorQuantization { public palette(tuples, noSort) : any { this.buildPal(noSort); - return tuples ? this._idxrgb : new Uint8Array((new Uint32Array(this._idxi32)).buffer); + + var uint32Array = this._paletteArray.map(point => point.uint32); + return tuples ? this._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); } public prunePal(keep) { - var i32; + var /*i32,*/ + point : Point; - for (var j = 0; j < this._idxrgb.length; j++) { + for (var j = 0; j < this._paletteArray.length; j++) { if (!keep[ j ]) { - i32 = this._idxi32[ j ]; - this._idxrgb[ j ] = null; - this._idxi32[ j ] = null; - delete this._i32idx[ i32 ]; + point = this._paletteArray[ j ]; + this._paletteArray[j] = null; + + // TODO: check if we need to delete also this._i32rgb ???? + delete this._i32idx[ point.uint32 ];// TODO: delete is forbidden operator!!! } } @@ -355,20 +344,19 @@ module ColorQuantization { if (this._reIndex) { var idxrgb = [], idxi32 = [], - i32idx = {}; - - for (var j = 0, i = 0; j < this._idxrgb.length; j++) { - if (this._idxrgb[ j ]) { - i32 = this._idxi32[ j ]; - idxrgb[ i ] = this._idxrgb[ j ]; - i32idx[ i32 ] = i; - idxi32[ i ] = i32; + i32idx = {}, + compactedPaletteArray : Point[] = []; + + for (var j = 0, i = 0; j < this._paletteArray.length; j++) { + if (this._paletteArray[ j ]) { + point = this._paletteArray[j]; + compactedPaletteArray[i] = point; + i32idx[ point.uint32 ] = i; i++; } } - this._idxrgb = idxrgb; - this._idxi32 = idxi32; + this._paletteArray = compactedPaletteArray; this._i32idx = i32idx; } } @@ -376,7 +364,7 @@ module ColorQuantization { // reduces similar colors from an importance-sorted Uint32 rgba array public reducePal(idxi32) { // if pre-defined palette's length exceeds target - if (this._idxrgb.length > this._colors) { + if (this._paletteArray.length > this._colors) { // quantize histogram to existing palette var len = idxi32.length, keep = {}, uniques = 0, idx, pruned = false; @@ -472,11 +460,11 @@ module ColorQuantization { for (var i = 0; i < len; i++) { if (!idxrgb[ i ]) continue; - this._idxrgb.push(idxrgb[ i ]); - this._idxi32.push(idxi32[ i ]); + var point : Point = new Point(idxrgb[i]); + this._paletteArray.push(point); - this._i32idx[ idxi32[ i ] ] = this._idxi32.length - 1; - this._i32rgb[ idxi32[ i ] ] = idxrgb[ i ]; + this._i32idx[ point.uint32 ] = this._paletteArray.length - 1; + this._i32rgb[ point.uint32 ] = idxrgb[ i ]; } } } @@ -546,20 +534,16 @@ module ColorQuantization { // TODO: group very low lum and very high lum colors // TODO: pass custom sort order public sortPal() { - var self = this; - - this._idxi32.sort(function (a, b) { - var idxA = self._i32idx[ a ], - idxB = self._i32idx[ b ], - rgbA = self._idxrgb[ idxA ], - rgbB = self._idxrgb[ idxB ]; + this._paletteArray.sort((a : Point, b : Point) => { + var rgbA = a.rgba, + rgbB = b.rgba; var hslA = Utils.rgb2hsl(rgbA[ 0 ], rgbA[ 1 ], rgbA[ 2 ]), hslB = Utils.rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); // sort all grays + whites together - var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, self._hueGroups); - var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, self._hueGroups); + var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, this._hueGroups); + var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, this._hueGroups); var hueDiff = hueB - hueA; if (hueDiff) return -hueDiff; @@ -572,9 +556,8 @@ module ColorQuantization { }); // sync idxrgb & i32idx - this._idxi32.forEach(function (i32, i) { - this._idxrgb[ i ] = this._i32rgb[ i32 ]; - this._i32idx[ i32 ] = i; + this._paletteArray.forEach(function (point : Point, i) { + this._i32idx[ point.uint32 ] = i; }, this); } @@ -592,19 +575,23 @@ module ColorQuantization { } // TOTRY: use HUSL - http://boronine.com/husl/ - public nearestColor(i32) { + public nearestColor(i32) : Point { var idx = this.nearestIndex(i32); - return idx === null ? 0 : this._idxi32[ idx ]; + if(idx === null) throw new Error("color i32 should be 0, but why null?"); + return this._paletteArray[ idx ]; } // TOTRY: use HUSL - http://boronine.com/husl/ public nearestIndex(i32) { +/* // alpha 0 returns null index if ((i32 & 0xff000000) >> 24 == 0) return null; +*/ - if (this._useCache && ("" + i32) in this._i32idx) - return this._i32idx[ i32 ]; + if (this._useCache && ("" + i32) in this._i32idx) { + return this._i32idx[i32]; + } var min = 1000, idx, @@ -614,12 +601,12 @@ module ColorQuantization { (i32 >>> 16) & 0xff, (i32 >>> 24) & 0xff ], - len = this._idxrgb.length; + len = this._paletteArray.length; for (var i = 0; i < len; i++) { - if (!this._idxrgb[ i ]) continue; // sparse palettes + if (!this._paletteArray[ i ]) continue; // sparse palettes - var dist = Utils.distEuclidean(rgb, this._idxrgb[ i ]); + var dist = Utils.distEuclidean(rgb, this._paletteArray[ i ].rgba); if (dist < min) { min = dist; @@ -627,6 +614,8 @@ module ColorQuantization { } } + if(typeof idx === "undefined") throw new Error("x"); + return idx; } diff --git a/ts/point.js b/ts/point.js new file mode 100644 index 0000000..4e308a9 --- /dev/null +++ b/ts/point.js @@ -0,0 +1,69 @@ +var ColorQuantization; +(function (ColorQuantization) { + var Point = (function () { + function Point() { + var args = []; + for (var _i = 0; _i < arguments.length; _i++) { + args[_i - 0] = arguments[_i]; + } + this.set.apply(this, args); + } + Point.prototype.set = function () { + var args = []; + for (var _i = 0; _i < arguments.length; _i++) { + args[_i - 0] = arguments[_i]; + } + switch (args.length) { + case 1: + if (typeof args[0] === "number") { + this.uint32 = args[0]; + this._loadRGBA(); + } + else if (Utils.typeOf(args[0]) === "Array") { + this.r = args[0][0]; + this.g = args[0][1]; + this.b = args[0][2]; + this.a = args[0][3]; + this._loadUINT32(); + } + else { + throw new Error("Point.constructor/set: unsupported single parameter"); + } + break; + case 4: + this.r = args[0]; + this.g = args[1]; + this.b = args[2]; + this.a = args[3]; + this._loadUINT32(); + break; + default: + throw new Error("Point.constructor/set should have parameter/s"); + } + this._loadQuadruplet(); + }; + Point.prototype._loadUINT32 = function () { + this.uint32 = ((this.a << 24) | + (this.b << 16) | + (this.g << 8) | + this.r // red + ) >>> 0; + }; + Point.prototype._loadRGBA = function () { + this.r = this.uint32 & 0xff; + this.g = (this.uint32 >>> 8) & 0xff; + this.b = (this.uint32 >>> 16) & 0xff; + this.a = (this.uint32 >>> 24) & 0xff; + }; + Point.prototype._loadQuadruplet = function () { + this.rgba = [ + this.r, + this.g, + this.b, + this.a + ]; + }; + return Point; + })(); + ColorQuantization.Point = Point; +})(ColorQuantization || (ColorQuantization = {})); diff --git a/ts/point.ts b/ts/point.ts index fec3fc9..5ce5eed 100644 --- a/ts/point.ts +++ b/ts/point.ts @@ -6,17 +6,27 @@ module ColorQuantization { public b : number; public a : number; public uint32 : number; + public rgba : number[]; // TODO: better name is quadruplet or quad may be? constructor(...args : number[]) { - this.set(args); + this.set(...args); } - public set(...args) { + public set(...args : number[]) { switch(args.length) { case 1: - this.uint32 = args[0]; - - this._loadRGBA(); + if(typeof args[0] === "number") { + this.uint32 = args[0]; + this._loadRGBA(); + } else if(Utils.typeOf(args[0]) === "Array") { + this.r = args[0][0]; + this.g = args[0][1]; + this.b = args[0][2]; + this.a = args[0][3]; + this._loadUINT32(); + } else { + throw new Error("Point.constructor/set: unsupported single parameter"); + } break; case 4: @@ -30,6 +40,8 @@ module ColorQuantization { default: throw new Error("Point.constructor/set should have parameter/s"); } + + this._loadQuadruplet(); } private _loadUINT32() { @@ -47,6 +59,15 @@ module ColorQuantization { this.b = (this.uint32 >>> 16) & 0xff; this.a = (this.uint32 >>> 24) & 0xff; } + + private _loadQuadruplet() { + this.rgba = [ + this.r, + this.g, + this.b, + this.a + ]; + } } } From 4f2ff26a6d9c627f50db484894cc5ece1c6d85fb Mon Sep 17 00:00:00 2001 From: Igor Date: Thu, 14 May 2015 00:21:42 +0300 Subject: [PATCH 09/23] useCache/i32idx usage fixed --- ts/colorQuant.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index d75458b..7312e56 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -614,7 +614,7 @@ module ColorQuantization { } } - if(typeof idx === "undefined") throw new Error("x"); + this._i32idx[i32] = idx; return idx; } From a92ca67b64b982228720b865fe43088d55a3cb49 Mon Sep 17 00:00:00 2001 From: igorbz Date: Thu, 14 May 2015 11:42:21 +0300 Subject: [PATCH 10/23] code cleanup, deletion of js/js.map added to force WebStorm to reread newly built --- ts/build.cmd | 2 ++ ts/point.js | 69 ---------------------------------------------------- 2 files changed, 2 insertions(+), 69 deletions(-) delete mode 100644 ts/point.js diff --git a/ts/build.cmd b/ts/build.cmd index b67f5aa..e8583c0 100644 --- a/ts/build.cmd +++ b/ts/build.cmd @@ -1,3 +1,5 @@ pushd %~dp0 +del /f/q colorQuant.js +del /f/q colorQuant.js.map tsc colorQuant.ts --sourcemap --out colorQuant.js popd diff --git a/ts/point.js b/ts/point.js deleted file mode 100644 index 4e308a9..0000000 --- a/ts/point.js +++ /dev/null @@ -1,69 +0,0 @@ -var ColorQuantization; -(function (ColorQuantization) { - var Point = (function () { - function Point() { - var args = []; - for (var _i = 0; _i < arguments.length; _i++) { - args[_i - 0] = arguments[_i]; - } - this.set.apply(this, args); - } - Point.prototype.set = function () { - var args = []; - for (var _i = 0; _i < arguments.length; _i++) { - args[_i - 0] = arguments[_i]; - } - switch (args.length) { - case 1: - if (typeof args[0] === "number") { - this.uint32 = args[0]; - this._loadRGBA(); - } - else if (Utils.typeOf(args[0]) === "Array") { - this.r = args[0][0]; - this.g = args[0][1]; - this.b = args[0][2]; - this.a = args[0][3]; - this._loadUINT32(); - } - else { - throw new Error("Point.constructor/set: unsupported single parameter"); - } - break; - case 4: - this.r = args[0]; - this.g = args[1]; - this.b = args[2]; - this.a = args[3]; - this._loadUINT32(); - break; - default: - throw new Error("Point.constructor/set should have parameter/s"); - } - this._loadQuadruplet(); - }; - Point.prototype._loadUINT32 = function () { - this.uint32 = ((this.a << 24) | - (this.b << 16) | - (this.g << 8) | - this.r // red - ) >>> 0; - }; - Point.prototype._loadRGBA = function () { - this.r = this.uint32 & 0xff; - this.g = (this.uint32 >>> 8) & 0xff; - this.b = (this.uint32 >>> 16) & 0xff; - this.a = (this.uint32 >>> 24) & 0xff; - }; - Point.prototype._loadQuadruplet = function () { - this.rgba = [ - this.r, - this.g, - this.b, - this.a - ]; - }; - return Point; - })(); - ColorQuantization.Point = Point; -})(ColorQuantization || (ColorQuantization = {})); From 41c6e821d0cab00443f4ea3209d05c86b1ff4a19 Mon Sep 17 00:00:00 2001 From: igorbz Date: Thu, 14 May 2015 11:43:39 +0300 Subject: [PATCH 11/23] code cleanup, sort optimization, colors with alpha=0 fix --- ts/colorQuant.ts | 19 ++++++------------- ts/utils.ts | 18 ++++++++++-------- 2 files changed, 16 insertions(+), 21 deletions(-) diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 7312e56..9300095 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -71,9 +71,6 @@ module ColorQuantization { // reverse lookup {i32:idx} private _i32idx = {}; - // {i32:rgb} - private _i32rgb = {}; - // enable color caching (also incurs overhead of cache misses and cache building) private _useCache = true; @@ -113,7 +110,6 @@ module ColorQuantization { if (this._paletteArray.length > 0) { this._paletteArray.forEach(function (point : Point, i) { this._i32idx[ point.uint32 ] = i; - this._i32rgb[ point.uint32 ] = point.rgba; }, this); } } @@ -411,18 +407,18 @@ module ColorQuantization { // iterate palette for (var i = 0; i < len; i++) { - var pxi = idxrgb[ i ], i32i = idxi32[ i ]; + var pxi = idxrgb[ i ]; if (!pxi) continue; for (var j = i + 1; j < len; j++) { - var pxj = idxrgb[ j ], i32j = idxi32[ j ]; + var pxj = idxrgb[ j ]; if (!pxj) continue; var dist = Utils.distEuclidean(pxi, pxj); if (dist < thold) { // store index,rgb,dist - memDist.push([ j, pxj, i32j, dist ]); + memDist.push([ j, pxj, dist ]); // kill squashed value delete(idxrgb[ j ]); @@ -442,7 +438,7 @@ module ColorQuantization { if (palLen < this._colors) { // sort descending Utils.sort.call(memDist, function (a, b) { - return b[ 3 ] - a[ 3 ]; + return b[ 2 ] - a[ 2 ]; }); var k = 0; @@ -464,7 +460,6 @@ module ColorQuantization { this._paletteArray.push(point); this._i32idx[ point.uint32 ] = this._paletteArray.length - 1; - this._i32rgb[ point.uint32 ] = idxrgb[ i ]; } } } @@ -479,7 +474,7 @@ module ColorQuantization { col = buf32[ i ]; // skip transparent - if ((col & 0xff000000) >> 24 == 0) continue; + //if ((col & 0xff000000) >> 24 == 0) continue; // collect hue stats if (this._hueStats) @@ -510,7 +505,7 @@ module ColorQuantization { col = buf32[ i ]; // skip transparent - if ((col & 0xff000000) >> 24 == 0) return; + //if ((col & 0xff000000) >> 24 == 0) return; // collect hue stats if (this._hueStats) @@ -577,7 +572,6 @@ module ColorQuantization { // TOTRY: use HUSL - http://boronine.com/husl/ public nearestColor(i32) : Point { var idx = this.nearestIndex(i32); - if(idx === null) throw new Error("color i32 should be 0, but why null?"); return this._paletteArray[ idx ]; } @@ -615,7 +609,6 @@ module ColorQuantization { } this._i32idx[i32] = idx; - return idx; } diff --git a/ts/utils.ts b/ts/utils.ts index ac3c3d2..42b6352 100644 --- a/ts/utils.ts +++ b/ts/utils.ts @@ -187,14 +187,16 @@ module ColorQuantization.Utils { // returns array of hash keys sorted by their values export function sortedHashKeys(obj, desc) { - var keys = []; - - for (var key in obj) - keys.push(key); - - return sort.call(keys, function (a, b) { - return desc ? obj[ b ] - obj[ a ] : obj[ a ] - obj[ b ]; - }); + var keys = Object.keys(obj); + if(desc) { + return sort.call(keys, function (a, b) { + return obj[ b ] - obj[ a ]; + }); + } else { + return sort.call(keys, function (a, b) { + return obj[ a ] - obj[ b ]; + }); + } } var rd = 255, From 25bd9d5b175fc6b5f52612ce1e2e1dcf39a82df7 Mon Sep 17 00:00:00 2001 From: igorbz Date: Thu, 14 May 2015 13:26:20 +0300 Subject: [PATCH 12/23] pointBuffer class created (import = 100%, export = 0%), not integrated with colorQuangt yet, need more work --- ts/colorQuant.ts | 1 + ts/pointBuffer.ts | 95 +++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 96 insertions(+) create mode 100644 ts/pointBuffer.ts diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 9300095..d642ad7 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -6,6 +6,7 @@ */ /// +/// /// /// /// diff --git a/ts/pointBuffer.ts b/ts/pointBuffer.ts new file mode 100644 index 0000000..6845479 --- /dev/null +++ b/ts/pointBuffer.ts @@ -0,0 +1,95 @@ +/// +module ColorQuantization { + + // TODO: http://www.javascripture.com/Uint8ClampedArray + // TODO: Uint8ClampedArray is better than Uint8Array to avoid checking for out of bounds + // TODO: check performance (it seems identical) http://jsperf.com/uint8-typed-array-vs-imagedata/4 + /* + + TODO: Examples: + + var x = new Uint8ClampedArray([17, -45.3]); + console.log(x[0]); // 17 + console.log(x[1]); // 0 + console.log(x.length); // 2 + + var x = new Uint8Array([17, -45.3]); + console.log(x[0]); // 17 + console.log(x[1]); // 211 + console.log(x.length); // 2 + + */ + + export class PointHolder { + private _pointArray : Point[]; + private _width : number; + private _height : number; + + constructor() { + } + + public importHTMLImageElement(img : HTMLImageElement) : void { + var width = img.naturalWidth, + height = img.naturalHeight; + + var canvas = document.createElement("canvas"); + canvas.width = width; + canvas.height = height; + + var ctx = canvas.getContext("2d"); + ctx.drawImage(img, 0, 0, width,height, 0, 0, width, height); + + this.importHTMLCanvasElement(canvas); + } + + public importHTMLCanvasElement(canvas : HTMLCanvasElement) : void { + var width = canvas.width, + height = canvas.height; + + var ctx = canvas.getContext("2d"), + imgData = ctx.getImageData(0, 0, width, height); + + this.importImageData(imgData); + } + + public importNodeCanvas(canvas : any) : void { + this.importHTMLCanvasElement(canvas); + } + + public importImageData(imageData : ImageData) : void { + var width = imageData.width, + height = imageData.height; + + this.importCanvasPixelArray(imageData.data, width, height); +/* + var buf8; + if (Utils.typeOf(imageData.data) == "CanvasPixelArray") + buf8 = new Uint8Array(imageData.data); + else + buf8 = imageData.data; + + this.importUint32Array(new Uint32Array(buf8.buffer), width, height); +*/ + } + + public importArray(data : Array, width : number, height : number) : void { + var uint8array = new Uint8Array(data); + this.importUint32Array(new Uint32Array(uint8array.buffer), width, height); + } + + public importCanvasPixelArray(data : any, width : number, height : number) { + this.importArray(data, width, height); + } + + public importUint32Array(uint32array : Uint32Array, width : number, height : number) : void { + this._width = width; + this._height = height; + + this._pointArray = [];//new Array(uint32array.length); + for(var i = 0, l = uint32array.length; i < l; i++) { + this._pointArray[i] = new Point(uint32array[i]); + } + } + } + +} From 20a44fe2a8cf9a2bf63490f74684f65fdf70e8bf Mon Sep 17 00:00:00 2001 From: igorbz Date: Thu, 14 May 2015 18:20:17 +0300 Subject: [PATCH 13/23] pointBuffer: used in dither, 2 usage left to rewrite --- ts/colorQuant.ts | 103 +++++++++++++++++++++++++++------------------- ts/pointBuffer.ts | 31 ++++++++++++-- 2 files changed, 88 insertions(+), 46 deletions(-) diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index d642ad7..8a86026 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -185,16 +185,15 @@ module ColorQuantization { var ds = kernels[ kernel ]; - var data = Utils.getImageData(img), -// buf8 = data.buf8, - buf32 = data.buf32, - width = data.width, - height = data.height, - len = buf32.length; + var pointBuffer = new PointBuffer(); + pointBuffer.importHTMLImageElement(img); - var dir = serpentine ? -1 : 1; + var pointArray = pointBuffer.getPointArray(), + width = pointBuffer.getWidth(), + height = pointBuffer.getHeight(), + dir = serpentine ? -1 : 1; - (console).profile("dither"); + //(console).profile("dither"); for (var y = 0; y < height; y++) { if (serpentine) dir = dir * -1; @@ -204,29 +203,25 @@ module ColorQuantization { for (var x = (dir == 1 ? 0 : width - 1), xend = (dir == 1 ? width : 0); x !== xend; x += dir) { // Image pixel var idx = lni + x, - i32 = buf32[ idx ], - r1 = (i32 & 0xff), - g1 = (i32 >>> 8) & 0xff, - b1 = (i32 >>> 16) & 0xff, - a1 = (i32 >>> 24) & 0xff; + p1 = pointArray[ idx ]; // Reduced pixel - var point = this.nearestColor(i32); + var point = this.nearestColor_Point(p1); - buf32[ idx ] = point.uint32; + pointArray[ idx ] = point; // dithering strength if (this._dithDelta) { - var dist = Utils.distEuclidean([ r1, g1, b1, a1 ], point.rgba); + var dist = Utils.distEuclidean(p1.rgba, point.rgba); if (dist < this._dithDelta) continue; } // Component distance - var er = r1 - point.r, - eg = g1 - point.g, - eb = b1 - point.b, - ea = a1 - point.a; + var er = p1.r - point.r, + eg = p1.g - point.g, + eb = p1.b - point.b, + ea = p1.a - point.a; for (var i = (dir == 1 ? 0 : ds.length - 1), end = (dir == 1 ? ds.length : 0); i !== end; i += dir) { var x1 = ds[ i ][ 1 ] * dir, @@ -237,33 +232,22 @@ module ColorQuantization { if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) { var d = ds[ i ][ 0 ]; var idx2 = idx + (lni2 + x1), - i32y = buf32[ idx2 ]; - - var r3 = (i32y & 0xff), - g3 = (i32y >>> 8) & 0xff, - b3 = (i32y >>> 16) & 0xff, - a3 = (i32y >>> 24) & 0xff; - - var r4 = Math.max(0, Math.min(255, r3 + er * d)), - g4 = Math.max(0, Math.min(255, g3 + eg * d)), - b4 = Math.max(0, Math.min(255, b3 + eb * d)), - a4 = Math.max(0, Math.min(255, a3 + ea * d)); - - buf32[ idx2 ] = ( - (a4 << 24) | // alpha - (b4 << 16) | // blue - (g4 << 8) | // green - r4 // red - ) >>> 0; - - //if(this.idxi32.indexOf(buf32[idx2]) < 0) throw new Error("no palette entry!"); + p3 = pointArray[ idx2 ]; + + var r4 = Math.max(0, Math.min(255, p3.r + er * d)), + g4 = Math.max(0, Math.min(255, p3.g + eg * d)), + b4 = Math.max(0, Math.min(255, p3.b + eb * d)), + a4 = Math.max(0, Math.min(255, p3.a + ea * d)); + + pointArray[ idx2 ].set(r4, g4, b4, a4); } } } } - (console).profileEnd("dither"); - return buf32; + //(console).profileEnd("dither"); + + return pointBuffer.exportUint32Array(); } // reduces histogram to palette, remaps & memoizes reduced colors @@ -576,6 +560,11 @@ module ColorQuantization { return this._paletteArray[ idx ]; } + public nearestColor_Point(point : Point) : Point { + var idx = this.nearestIndex_Point(point); + return this._paletteArray[ idx ]; + } + // TOTRY: use HUSL - http://boronine.com/husl/ public nearestIndex(i32) { /* @@ -613,6 +602,36 @@ module ColorQuantization { return idx; } + public nearestIndex_Point(point : Point) : number { + /* + // alpha 0 returns null index + if ((i32 & 0xff000000) >> 24 == 0) + return null; + */ + + if (this._useCache && ("" + point.uint32) in this._i32idx) { + return this._i32idx[point.uint32]; + } + + var min = 1000, + idx, + len = this._paletteArray.length; + + for (var i = 0; i < len; i++) { + if (!this._paletteArray[ i ]) continue; // sparse palettes + + var dist = Utils.distEuclidean(point.rgba, this._paletteArray[ i ].rgba); + + if (dist < min) { + min = dist; + idx = i; + } + } + + this._i32idx[point.uint32] = idx; + return idx; + } + public cacheHistogram(idxi32) { for (var i = 0, i32 = idxi32[ i ]; i < idxi32.length && this._histogram[ i32 ] >= this._cacheFreq; i32 = idxi32[ i++ ]) this._i32idx[ i32 ] = this.nearestIndex(i32); diff --git a/ts/pointBuffer.ts b/ts/pointBuffer.ts index 6845479..4de2a57 100644 --- a/ts/pointBuffer.ts +++ b/ts/pointBuffer.ts @@ -20,7 +20,7 @@ module ColorQuantization { */ - export class PointHolder { + export class PointBuffer { private _pointArray : Point[]; private _width : number; private _height : number; @@ -28,6 +28,18 @@ module ColorQuantization { constructor() { } + public getWidth() : number { + return this._width; + } + + public getHeight() : number { + return this._height; + } + + public getPointArray() : Point[] { + return this._pointArray; + } + public importHTMLImageElement(img : HTMLImageElement) : void { var width = img.naturalWidth, height = img.naturalHeight; @@ -36,7 +48,7 @@ module ColorQuantization { canvas.width = width; canvas.height = height; - var ctx = canvas.getContext("2d"); + var ctx = canvas.getContext("2d"); ctx.drawImage(img, 0, 0, width,height, 0, 0, width, height); this.importHTMLCanvasElement(canvas); @@ -46,7 +58,7 @@ module ColorQuantization { var width = canvas.width, height = canvas.height; - var ctx = canvas.getContext("2d"), + var ctx = canvas.getContext("2d"), imgData = ctx.getImageData(0, 0, width, height); this.importImageData(imgData); @@ -72,7 +84,7 @@ module ColorQuantization { */ } - public importArray(data : Array, width : number, height : number) : void { + public importArray(data : number[], width : number, height : number) : void { var uint8array = new Uint8Array(data); this.importUint32Array(new Uint32Array(uint8array.buffer), width, height); } @@ -90,6 +102,17 @@ module ColorQuantization { this._pointArray[i] = new Point(uint32array[i]); } } + + public exportUint32Array() : Uint32Array { + var l = this._pointArray.length, + uint32Array = new Uint32Array(l); + + for(var i = 0; i < l; i++) { + uint32Array[i] = this._pointArray[i].uint32; + } + + return uint32Array; + } } } From e4d22eec2f502c5a653129a833ee013d1b873b78 Mon Sep 17 00:00:00 2001 From: igorbz Date: Thu, 14 May 2015 18:31:20 +0300 Subject: [PATCH 14/23] pointBuffer: used in sample, 1 usage left to rewrite --- demo/js/demo.js | 4 +++- ts/colorQuant.ts | 26 ++++++++++++++------------ 2 files changed, 17 insertions(+), 13 deletions(-) diff --git a/demo/js/demo.js b/demo/js/demo.js index 526ce4e..276b10e 100644 --- a/demo/js/demo.js +++ b/demo/js/demo.js @@ -99,7 +99,9 @@ function process(srcs) { var img = this, id = baseName(img.src)[0]; ti.mark("sample '" + id + "'", function(){ - quant.sample(img); + var pointBuffer = new ColorQuantization.PointBuffer(); + pointBuffer.importHTMLImageElement(img); + quant.sample(pointBuffer); }); }); diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 8a86026..e18f23c 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -116,18 +116,16 @@ module ColorQuantization { } // gathers histogram info - public sample(img, width) { + public sample(pointBuffer : PointBuffer) { if (this._palLocked) throw "Cannot sample additional images, palette already assembled."; - var data = Utils.getImageData(img, width); - switch (this._method) { case 1: - this.colorStats1D(data.buf32); + this.colorStats1D(pointBuffer); break; case 2: - this.colorStats2D(data.buf32, data.width); + this.colorStats2D(pointBuffer); break; } } @@ -450,13 +448,13 @@ module ColorQuantization { } // global top-population - public colorStats1D(buf32) { + public colorStats1D(pointBuffer : PointBuffer) { var histG = this._histogram, - num = 0, col, - len = buf32.length; + pointArray = pointBuffer.getPointArray(), + len = pointArray.length; for (var i = 0; i < len; i++) { - col = buf32[ i ]; + var col = pointArray[i].uint32; // skip transparent //if ((col & 0xff000000) >> 24 == 0) continue; @@ -475,11 +473,15 @@ module ColorQuantization { // population threshold within subregions // FIXME: this can over-reduce (few/no colors same?), need a way to keep // important colors that dont ever reach local thresholds (gradients?) - public colorStats2D(buf32, width) { + public colorStats2D(pointBuffer : PointBuffer) { + var width = pointBuffer.getWidth(), + height = pointBuffer.getHeight(), + pointArray = pointBuffer.getPointArray(); + var boxW = this._boxSize[ 0 ], boxH = this._boxSize[ 1 ], area = boxW * boxH, - boxes = Utils.makeBoxes(width, buf32.length / width, boxW, boxH), + boxes = Utils.makeBoxes(width, height, boxW, boxH), histG = this._histogram; boxes.forEach(function (box) { @@ -487,7 +489,7 @@ module ColorQuantization { histL = {}, col; this.iterBox(box, width, function (i) { - col = buf32[ i ]; + col = pointArray[i].uint32; // skip transparent //if ((col & 0xff000000) >> 24 == 0) return; From eacbb0e2359072aac44671017e4f495b1cf29fef Mon Sep 17 00:00:00 2001 From: igorbz Date: Thu, 14 May 2015 18:53:52 +0300 Subject: [PATCH 15/23] pointBuffer: 100% --- demo/js/demo.js | 28 ++++++++++++++++++---------- ts/colorQuant.ts | 37 ++++++++++++++----------------------- ts/point.ts | 9 +++++++++ ts/pointBuffer.ts | 5 +++++ 4 files changed, 46 insertions(+), 33 deletions(-) diff --git a/demo/js/demo.js b/demo/js/demo.js index 276b10e..453ec58 100644 --- a/demo/js/demo.js +++ b/demo/js/demo.js @@ -80,7 +80,8 @@ function process(srcs) { ti.start(); $.getImgs(srcs, function() { - var imgs = arguments; + var imgs = []; + for(var i = 0, l = arguments.length; i < l; i++) imgs[i] = arguments[i]; ti.mark("image(s) loaded"); @@ -93,15 +94,22 @@ function process(srcs) { }); var opts = (srcs.length == 1) ? getOpts(baseName(srcs[0])[0]) : dflt_opts, - quant = new ColorQuantization.RgbQuant(opts); + quant = new ColorQuantization.RgbQuant(opts), + pointBuffers = []; - $.each(imgs, function() { - var img = this, id = baseName(img.src)[0]; + + ti.mark("create pointBuffers", function() { + imgs.forEach(function (img, index) { + pointBuffers[index] = new ColorQuantization.PointBuffer(); + pointBuffers[index].importHTMLImageElement(img); + }); + }); + + imgs.forEach(function (img, index) { + var id = baseName(img.src)[0]; ti.mark("sample '" + id + "'", function(){ - var pointBuffer = new ColorQuantization.PointBuffer(); - pointBuffer.importHTMLImageElement(img); - quant.sample(pointBuffer); + quant.sample(pointBuffers[index]); }); }); @@ -115,12 +123,12 @@ function process(srcs) { $palt.empty().append(pcan); $redu.empty(); - $(imgs).each(function() { - var img = this, id = baseName(img.src)[0]; + imgs.forEach(function (img, index) { + var id = baseName(img.src)[0]; var img8; ti.mark("reduce '" + id + "'", function() { - img8 = quant.reduce(img); + img8 = quant.reduce(pointBuffers[index]).exportUint8Array(); }); ti.mark("reduced -> DOM", function() { diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index e18f23c..80d9417 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -133,7 +133,7 @@ module ColorQuantization { // image quantizer // todo: memoize colors here also // @retType: 1 - Uint8Array (default), 2 - Indexed array, 3 - Match @img type (unimplemented, todo) - public reduce(img, retType, dithKern, dithSerp) : any { + public reduce(pointBuffer : PointBuffer, retType, dithKern, dithSerp) : any { if (!this._palLocked) this.buildPal(); @@ -143,22 +143,21 @@ module ColorQuantization { retType = retType || 1; // reduce w/dither - var buf32; - if (dithKern) - buf32 = this.dither(img, dithKern, dithSerp); - else { - var data = Utils.getImageData(img); - buf32 = data.buf32; + if (dithKern) { + pointBuffer = this.dither(pointBuffer, dithKern, dithSerp); } - var len : number = buf32.length, + var pointArray = pointBuffer.getPointArray(), + len : number = pointArray.length, out32 = new Uint32Array(len); for (var i = 0; i < len; i++) { - var i32 : number = buf32[ i ]; - out32[ i ] = this.nearestColor(i32).uint32; + pointArray[ i ].from(this.nearestColor(pointArray[ i ])); } + return pointBuffer; + +/* if (retType == 1) return new Uint8Array(out32.buffer); @@ -173,19 +172,17 @@ module ColorQuantization { return out; } +*/ } // adapted from http://jsbin.com/iXofIji/2/edit by PAEz - public dither(img, kernel, serpentine) { + public dither(pointBuffer : PointBuffer, kernel, serpentine) : PointBuffer { if (!kernel || !kernels[ kernel ]) { throw 'Unknown dithering kernel: ' + kernel; } var ds = kernels[ kernel ]; - var pointBuffer = new PointBuffer(); - pointBuffer.importHTMLImageElement(img); - var pointArray = pointBuffer.getPointArray(), width = pointBuffer.getWidth(), height = pointBuffer.getHeight(), @@ -204,7 +201,7 @@ module ColorQuantization { p1 = pointArray[ idx ]; // Reduced pixel - var point = this.nearestColor_Point(p1); + var point = this.nearestColor(p1); pointArray[ idx ] = point; @@ -244,8 +241,7 @@ module ColorQuantization { } //(console).profileEnd("dither"); - - return pointBuffer.exportUint32Array(); + return pointBuffer; } // reduces histogram to palette, remaps & memoizes reduced colors @@ -557,12 +553,7 @@ module ColorQuantization { } // TOTRY: use HUSL - http://boronine.com/husl/ - public nearestColor(i32) : Point { - var idx = this.nearestIndex(i32); - return this._paletteArray[ idx ]; - } - - public nearestColor_Point(point : Point) : Point { + public nearestColor(point : Point) : Point { var idx = this.nearestIndex_Point(point); return this._paletteArray[ idx ]; } diff --git a/ts/point.ts b/ts/point.ts index 5ce5eed..cf3fcee 100644 --- a/ts/point.ts +++ b/ts/point.ts @@ -12,6 +12,15 @@ module ColorQuantization { this.set(...args); } + public from(point : Point) { + this.r = point.r; + this.g = point.g; + this.b = point.b; + this.a = point.a; + this.uint32 = point.uint32; + this.rgba = point.rgba.slice(0); + } + public set(...args : number[]) { switch(args.length) { case 1: diff --git a/ts/pointBuffer.ts b/ts/pointBuffer.ts index 4de2a57..6e6ae06 100644 --- a/ts/pointBuffer.ts +++ b/ts/pointBuffer.ts @@ -113,6 +113,11 @@ module ColorQuantization { return uint32Array; } + + public exportUint8Array() : Uint8Array { + return new Uint8Array(this.exportUint32Array().buffer); + } + } } From bebd39a9c7f37cc09b9c089e6c4f005834f94cc2 Mon Sep 17 00:00:00 2001 From: Igor Date: Fri, 15 May 2015 00:32:00 +0300 Subject: [PATCH 16/23] refactoring --- ts/colorQuant.ts | 63 +++++++++++++++++++++--------------------------- 1 file changed, 28 insertions(+), 35 deletions(-) diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 80d9417..51ae55e 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -18,7 +18,7 @@ module ColorQuantization { } export class RgbQuant { // 1 = by global population, 2 = subregion population threshold - private _method : number = 2; + private _method : number = 1; // desired final palette size private _colors : number = 256; @@ -148,8 +148,7 @@ module ColorQuantization { } var pointArray = pointBuffer.getPointArray(), - len : number = pointArray.length, - out32 = new Uint32Array(len); + len : number = pointArray.length; for (var i = 0; i < len; i++) { pointArray[ i ].from(this.nearestColor(pointArray[ i ])); @@ -248,23 +247,22 @@ module ColorQuantization { public buildPal(noSort?) { if (this._palLocked || this._paletteArray.length > 0 && this._paletteArray.length <= this._colors) return; - var histG = this._histogram, - sorted = Utils.sortedHashKeys(histG, true); + var sorted = Utils.sortedHashKeys(this._histogram, true); if (sorted.length == 0) throw "Nothing has been sampled, palette cannot be built."; switch (this._method) { case 1: - var cols = this._initColors, - last = sorted[ cols - 1 ], - freq = histG[ last ]; + var initialColorsLimit = Math.min(sorted.length, this._initColors ), + last = sorted[ initialColorsLimit - 1 ], + freq = this._histogram[ last ]; - var idxi32 = sorted.slice(0, cols); + var idxi32 = sorted.slice(0, initialColorsLimit); // add any cut off colors with same freq as last - var pos = cols, len = sorted.length; - while (pos < len && histG[ sorted[ pos ] ] == freq) + var pos = initialColorsLimit, len = sorted.length; + while (pos < len && this._histogram[ sorted[ pos ] ] == freq) idxi32.push(sorted[ pos++ ]); // inject min huegroup colors @@ -301,25 +299,19 @@ module ColorQuantization { return tuples ? this._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); } - public prunePal(keep) { - var /*i32,*/ - point : Point; + // TODO: check usage, not tested! + public prunePal(keep : number[]) { + var point : Point; for (var j = 0; j < this._paletteArray.length; j++) { - if (!keep[ j ]) { - point = this._paletteArray[ j ]; + if (keep.indexOf(j) < 0) { this._paletteArray[j] = null; - - // TODO: check if we need to delete also this._i32rgb ???? - delete this._i32idx[ point.uint32 ];// TODO: delete is forbidden operator!!! } } // compact if (this._reIndex) { - var idxrgb = [], - idxi32 = [], - i32idx = {}, + var i32idx = {}, compactedPaletteArray : Point[] = []; for (var j = 0, i = 0; j < this._paletteArray.length; j++) { @@ -341,20 +333,22 @@ module ColorQuantization { // if pre-defined palette's length exceeds target if (this._paletteArray.length > this._colors) { // quantize histogram to existing palette - var len = idxi32.length, keep = {}, uniques = 0, idx, pruned = false; - for (var i = 0; i < len; i++) { + // TODO: not tested code + var keep = [], uniqueColors = 0, idx, pruned = false; + + for (var i = 0, len = idxi32.length; i < len; i++) { // palette length reached, unset all remaining colors (sparse palette) - if (uniques == this._colors && !pruned) { + if (uniqueColors >= this._colors) { this.prunePal(keep); pruned = true; - } - - idx = this.nearestIndex(idxi32[ i ]); - - if (uniques < this._colors && !keep[ idx ]) { - keep[ idx ] = true; - uniques++; + break; + } else { + idx = this.nearestIndex(idxi32[i]); + if (keep.indexOf(idx) < 0) { + keep.push(idx); + uniqueColors++; + } } } @@ -401,6 +395,7 @@ module ColorQuantization { // kill squashed value delete(idxrgb[ j ]); + //idxrgb[ j ] = null; palLen--; } } @@ -431,13 +426,11 @@ module ColorQuantization { } } - var len = idxrgb.length; - for (var i = 0; i < len; i++) { + for (var i = 0, len = idxrgb.length; i < len; i++) { if (!idxrgb[ i ]) continue; var point : Point = new Point(idxrgb[i]); this._paletteArray.push(point); - this._i32idx[ point.uint32 ] = this._paletteArray.length - 1; } } From c8ac0264035660551e1a4fabe2adbb013ba2f6fd Mon Sep 17 00:00:00 2001 From: Igor Date: Fri, 15 May 2015 17:04:16 +0300 Subject: [PATCH 17/23] refactoring, "Point" + "importUint32Array" v8-optimized --- demo/js/demo.js | 7 ++----- ts/colorQuant.ts | 31 ++++++++-------------------- ts/point.ts | 26 ++++++++++++++++-------- ts/pointBuffer.ts | 2 +- ts/utils.ts | 52 ----------------------------------------------- 5 files changed, 28 insertions(+), 90 deletions(-) diff --git a/demo/js/demo.js b/demo/js/demo.js index 453ec58..1d5cb90 100644 --- a/demo/js/demo.js +++ b/demo/js/demo.js @@ -1,12 +1,9 @@ var cfg_edited = false; var dflt_opts = { - colors: 256, + colors: 1024, method: 2, - initColors: 4096, - minHueCols: 0, - dithKern: null, - dithSerp: false, + dithKern: "SierraLite" }; var cfgs = { diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 51ae55e..e97c106 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -133,7 +133,7 @@ module ColorQuantization { // image quantizer // todo: memoize colors here also // @retType: 1 - Uint8Array (default), 2 - Indexed array, 3 - Match @img type (unimplemented, todo) - public reduce(pointBuffer : PointBuffer, retType, dithKern, dithSerp) : any { + public reduce(pointBuffer : PointBuffer, retType?, dithKern?, dithSerp?) : any { if (!this._palLocked) this.buildPal(); @@ -143,9 +143,11 @@ module ColorQuantization { retType = retType || 1; // reduce w/dither + var start = Date.now(); if (dithKern) { pointBuffer = this.dither(pointBuffer, dithKern, dithSerp); } + console.log("[dither]: " + (Date.now() - start)); var pointArray = pointBuffer.getPointArray(), len : number = pointArray.length; @@ -155,23 +157,6 @@ module ColorQuantization { } return pointBuffer; - -/* - if (retType == 1) - return new Uint8Array(out32.buffer); - - if (retType == 2) { - var out = [], - len : number = out32.length; - - for (var i = 0; i < len; i++) { - var i32 : number = out32[ i ]; - out[ i ] = this._i32idx[ i32 ]; - } - - return out; - } -*/ } // adapted from http://jsbin.com/iXofIji/2/edit by PAEz @@ -226,14 +211,14 @@ module ColorQuantization { if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) { var d = ds[ i ][ 0 ]; var idx2 = idx + (lni2 + x1), - p3 = pointArray[ idx2 ]; + p3 = pointArray[idx2]; var r4 = Math.max(0, Math.min(255, p3.r + er * d)), g4 = Math.max(0, Math.min(255, p3.g + eg * d)), b4 = Math.max(0, Math.min(255, p3.b + eb * d)), a4 = Math.max(0, Math.min(255, p3.a + ea * d)); - pointArray[ idx2 ].set(r4, g4, b4, a4); + pointArray[idx2].set(r4, g4, b4, a4); } } } @@ -292,7 +277,7 @@ module ColorQuantization { this._palLocked = true; } - public palette(tuples, noSort) : any { + public palette(tuples?, noSort?) : any { this.buildPal(noSort); var uint32Array = this._paletteArray.map(point => point.uint32); @@ -394,8 +379,8 @@ module ColorQuantization { memDist.push([ j, pxj, dist ]); // kill squashed value - delete(idxrgb[ j ]); - //idxrgb[ j ] = null; + //delete(idxrgb[ j ]); + idxrgb[ j ] = null; palLen--; } } diff --git a/ts/point.ts b/ts/point.ts index cf3fcee..8607053 100644 --- a/ts/point.ts +++ b/ts/point.ts @@ -1,5 +1,10 @@ module ColorQuantization { + /** + * v8 optimized class + * 1) "constructor" should have initialization with worst types + * 2) "set" should have |0 / >>> 0 + */ export class Point { public r : number; public g : number; @@ -9,6 +14,9 @@ module ColorQuantization { public rgba : number[]; // TODO: better name is quadruplet or quad may be? constructor(...args : number[]) { + this.r = this.g = this.b = this.a = 0; + this.rgba = [ this.r , this.g , this.b , this.a ]; + this.uint32 = -1 >>> 0; this.set(...args); } @@ -25,13 +33,13 @@ module ColorQuantization { switch(args.length) { case 1: if(typeof args[0] === "number") { - this.uint32 = args[0]; + this.uint32 = args[0] >>> 0; this._loadRGBA(); } else if(Utils.typeOf(args[0]) === "Array") { - this.r = args[0][0]; - this.g = args[0][1]; - this.b = args[0][2]; - this.a = args[0][3]; + this.r = args[0][0] | 0; + this.g = args[0][1] | 0; + this.b = args[0][2] | 0; + this.a = args[0][3] | 0; this._loadUINT32(); } else { throw new Error("Point.constructor/set: unsupported single parameter"); @@ -39,10 +47,10 @@ module ColorQuantization { break; case 4: - this.r = args[0]; - this.g = args[1]; - this.b = args[2]; - this.a = args[3]; + this.r = args[0] | 0; + this.g = args[1] | 0; + this.b = args[2] | 0; + this.a = args[3] | 0; this._loadUINT32(); break; diff --git a/ts/pointBuffer.ts b/ts/pointBuffer.ts index 6e6ae06..a451dbd 100644 --- a/ts/pointBuffer.ts +++ b/ts/pointBuffer.ts @@ -99,7 +99,7 @@ module ColorQuantization { this._pointArray = [];//new Array(uint32array.length); for(var i = 0, l = uint32array.length; i < l; i++) { - this._pointArray[i] = new Point(uint32array[i]); + this._pointArray[i] = new Point(uint32array[i] | 0); // "| 0" is added for v8 optimization } } diff --git a/ts/utils.ts b/ts/utils.ts index 42b6352..eee548a 100644 --- a/ts/utils.ts +++ b/ts/utils.ts @@ -118,58 +118,6 @@ module ColorQuantization.Utils { } } - // returns uniform pixel data from various img - // TODO?: if array is passed, createimagedata, createlement canvas? take a pxlen? - export function getImageData(img, width?) { - var can, ctx, imgd, buf8, buf32, height; - - switch (typeOf(img)) { - case "HTMLImageElement": - can = document.createElement("canvas"); - can.width = img.naturalWidth; - can.height = img.naturalHeight; - ctx = can.getContext("2d"); - ctx.drawImage(img, 0, 0); - case "Canvas": - case "HTMLCanvasElement": - can = can || img; - ctx = ctx || can.getContext("2d"); - case "CanvasRenderingContext2D": - ctx = ctx || img; - can = can || ctx.canvas; - imgd = ctx.getImageData(0, 0, can.width, can.height); - case "ImageData": - imgd = imgd || img; - width = imgd.width; - if (typeOf(imgd.data) == "CanvasPixelArray") - buf8 = new Uint8Array(imgd.data); - else - buf8 = imgd.data; - case "Array": - case "CanvasPixelArray": - buf8 = buf8 || new Uint8Array(img); - case "Uint8Array": - case "Uint8ClampedArray": - buf8 = buf8 || img; - buf32 = new Uint32Array(buf8.buffer); - case "Uint32Array": - buf32 = buf32 || img; - buf8 = buf8 || new Uint8Array(buf32.buffer); - width = width || buf32.length; - height = buf32.length / width; - } - - return { - can : can, - ctx : ctx, - imgd : imgd, - buf8 : buf8, - buf32 : buf32, - width : width, - height: height - }; - } - // partitions a rect of wid x hgt into // array of bboxes of w0 x h0 (or less) export function makeBoxes(wid, hgt, w0, h0) { From ee671ee587329328248e90f8d2e76255a31eacc2 Mon Sep 17 00:00:00 2001 From: Igor Date: Fri, 15 May 2015 20:58:46 +0300 Subject: [PATCH 18/23] refactoring, nearestPoint v8-optimized --- ts/colorQuant.ts | 36 ++++++++++++++++++++++++++---------- 1 file changed, 26 insertions(+), 10 deletions(-) diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index e97c106..ec8b758 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -144,9 +144,12 @@ module ColorQuantization { // reduce w/dither var start = Date.now(); + + console.profile("__!dither"); if (dithKern) { pointBuffer = this.dither(pointBuffer, dithKern, dithSerp); } + (console).profileEnd("__!dither"); console.log("[dither]: " + (Date.now() - start)); var pointArray = pointBuffer.getPointArray(), @@ -532,8 +535,7 @@ module ColorQuantization { // TOTRY: use HUSL - http://boronine.com/husl/ public nearestColor(point : Point) : Point { - var idx = this.nearestIndex_Point(point); - return this._paletteArray[ idx ]; + return this._paletteArray[ this.nearestIndex_Point(point) | 0 ]; } // TOTRY: use HUSL - http://boronine.com/husl/ @@ -573,6 +575,10 @@ module ColorQuantization { return idx; } + private _nearestPointFromCache(key) { + return typeof this._i32idx[key] === "number" ? this._i32idx[key] : -1; + } + public nearestIndex_Point(point : Point) : number { /* // alpha 0 returns null index @@ -580,21 +586,31 @@ module ColorQuantization { return null; */ + if(this._useCache) { + var idx2 = this._nearestPointFromCache("" + point.uint32); + if(idx2 >= 0) return idx2; + } +/* + if (this._useCache && typeof this._i32idx["" + point.uint32] === "number") { + return this._i32idx[ "" + point.uint32]; + } +*/ +/* if (this._useCache && ("" + point.uint32) in this._i32idx) { - return this._i32idx[point.uint32]; + return this._i32idx[ "" + point.uint32]; } +*/ - var min = 1000, - idx, - len = this._paletteArray.length; + var minimalDistance = 1000, + idx = 0; - for (var i = 0; i < len; i++) { + for (var i = 0, l = this._paletteArray.length; i < l; i++) { if (!this._paletteArray[ i ]) continue; // sparse palettes - var dist = Utils.distEuclidean(point.rgba, this._paletteArray[ i ].rgba); + var distance = Utils.distEuclidean(point.rgba, this._paletteArray[ i ].rgba); - if (dist < min) { - min = dist; + if (distance < minimalDistance) { + minimalDistance = distance; idx = i; } } From 21daead594b30f0eb26474d99c66ec5bed695be3 Mon Sep 17 00:00:00 2001 From: Igor Date: Fri, 15 May 2015 23:48:20 +0300 Subject: [PATCH 19/23] refactoring --- demo/js/demo.js | 8 +- ts/colorQuant.ts | 348 +++++++++++++---------------------------------- ts/palette.ts | 119 ++++++++++++++++ 3 files changed, 217 insertions(+), 258 deletions(-) create mode 100644 ts/palette.ts diff --git a/demo/js/demo.js b/demo/js/demo.js index 1d5cb90..ae9937c 100644 --- a/demo/js/demo.js +++ b/demo/js/demo.js @@ -115,7 +115,11 @@ function process(srcs) { pal8 = quant.palette(); }); - var pcan = drawPixels(pal8, 16, 128); + // TODO: temporary solution. see Palette class todo + var uint32Array = pal8._paletteArray.map(function(point) { return point.uint32 }); + var uint8array = new Uint8Array((new Uint32Array(uint32Array)).buffer); + + var pcan = drawPixels(uint8array, 16, 128); $palt.empty().append(pcan); @@ -125,7 +129,7 @@ function process(srcs) { var img8; ti.mark("reduce '" + id + "'", function() { - img8 = quant.reduce(pointBuffers[index]).exportUint8Array(); + img8 = quant.reduce(pointBuffers[index], pal8).exportUint8Array(); }); ti.mark("reduced -> DOM", function() { diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index ec8b758..485deb0 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -6,6 +6,7 @@ */ /// +/// /// /// /// @@ -67,10 +68,8 @@ module ColorQuantization { // accumulated histogram private _histogram = {}; - private _paletteArray : Point[] = []; - - // reverse lookup {i32:idx} - private _i32idx = {}; + //private _paletteArray : Point[] = []; + private _palette : Palette; // enable color caching (also incurs overhead of cache misses and cache building) private _useCache = true; @@ -78,9 +77,6 @@ module ColorQuantization { // min color occurance count needed to qualify for caching private _cacheFreq = 10; - // allows pre-defined palettes to be re-indexed (enabling palette compacting and sorting) - private _reIndex = true; - // TODO: make interface for options constructor(opts : any) { opts = opts || {}; @@ -104,22 +100,10 @@ module ColorQuantization { // accumulated histogram this._histogram = {}; - // palette - rgb triplets - if (Object.prototype.toString.call(opts.palette) === "[object Array]") this._paletteArray = opts.palette.map(quadruplet => new Point(quadruplet)); - - // if pre-defined palette, build lookups - if (this._paletteArray.length > 0) { - this._paletteArray.forEach(function (point : Point, i) { - this._i32idx[ point.uint32 ] = i; - }, this); - } } // gathers histogram info public sample(pointBuffer : PointBuffer) { - if (this._palLocked) - throw "Cannot sample additional images, palette already assembled."; - switch (this._method) { case 1: this.colorStats1D(pointBuffer); @@ -133,21 +117,18 @@ module ColorQuantization { // image quantizer // todo: memoize colors here also // @retType: 1 - Uint8Array (default), 2 - Indexed array, 3 - Match @img type (unimplemented, todo) - public reduce(pointBuffer : PointBuffer, retType?, dithKern?, dithSerp?) : any { - if (!this._palLocked) - this.buildPal(); + public reduce(pointBuffer : PointBuffer, palette : Palette, dithKern?, dithSerp?) : any { + this._reducePalette(palette, this._colors); dithKern = dithKern || this._dithKern; dithSerp = typeof dithSerp != "undefined" ? dithSerp : this._dithSerp; - retType = retType || 1; - // reduce w/dither var start = Date.now(); console.profile("__!dither"); if (dithKern) { - pointBuffer = this.dither(pointBuffer, dithKern, dithSerp); + pointBuffer = this.dither(pointBuffer, palette, dithKern, dithSerp); } (console).profileEnd("__!dither"); console.log("[dither]: " + (Date.now() - start)); @@ -156,14 +137,14 @@ module ColorQuantization { len : number = pointArray.length; for (var i = 0; i < len; i++) { - pointArray[ i ].from(this.nearestColor(pointArray[ i ])); + pointArray[ i ].from(palette.nearestColor(pointArray[ i ])); } return pointBuffer; } // adapted from http://jsbin.com/iXofIji/2/edit by PAEz - public dither(pointBuffer : PointBuffer, kernel, serpentine) : PointBuffer { + public dither(pointBuffer : PointBuffer, palette : Palette, kernel, serpentine) : PointBuffer { if (!kernel || !kernels[ kernel ]) { throw 'Unknown dithering kernel: ' + kernel; } @@ -188,7 +169,7 @@ module ColorQuantization { p1 = pointArray[ idx ]; // Reduced pixel - var point = this.nearestColor(p1); + var point = palette.nearestColor(p1); pointArray[ idx ] = point; @@ -231,10 +212,7 @@ module ColorQuantization { return pointBuffer; } - // reduces histogram to palette, remaps & memoizes reduced colors - public buildPal(noSort?) { - if (this._palLocked || this._paletteArray.length > 0 && this._paletteArray.length <= this._colors) return; - + public getImportanceSortedColorsIDXI32() { var sorted = Utils.sortedHashKeys(this._histogram, true); if (sorted.length == 0) @@ -268,71 +246,38 @@ module ColorQuantization { return +v; }); - this.reducePal(idxi32); - - if (!noSort && this._reIndex) - this.sortPal(); - - // build cache of top histogram colors - if (this._useCache) - this.cacheHistogram(idxi32); - - this._palLocked = true; + return idxi32; } - public palette(tuples?, noSort?) : any { - this.buildPal(noSort); + // reduces histogram to palette, remaps & memoizes reduced colors + public palette() : Palette { + var idxi32 = this.getImportanceSortedColorsIDXI32(), + palette : Palette = this._buildPalette(idxi32); - var uint32Array = this._paletteArray.map(point => point.uint32); - return tuples ? this._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); + palette.sort(this._hueGroups); + return palette; +/* + var uint32Array = this._palette._paletteArray.map(point => point.uint32); + return tuples ? this._palette._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); +*/ } - // TODO: check usage, not tested! - public prunePal(keep : number[]) { - var point : Point; - - for (var j = 0; j < this._paletteArray.length; j++) { - if (keep.indexOf(j) < 0) { - this._paletteArray[j] = null; - } - } + // TODO: not tested method + private _reducePalette(palette : Palette, colors : number) { + if (palette._paletteArray.length > colors) { + var idxi32 = this.getImportanceSortedColorsIDXI32(); - // compact - if (this._reIndex) { - var i32idx = {}, - compactedPaletteArray : Point[] = []; - - for (var j = 0, i = 0; j < this._paletteArray.length; j++) { - if (this._paletteArray[ j ]) { - point = this._paletteArray[j]; - compactedPaletteArray[i] = point; - i32idx[ point.uint32 ] = i; - i++; - } - } - - this._paletteArray = compactedPaletteArray; - this._i32idx = i32idx; - } - } - - // reduces similar colors from an importance-sorted Uint32 rgba array - public reducePal(idxi32) { - // if pre-defined palette's length exceeds target - if (this._paletteArray.length > this._colors) { // quantize histogram to existing palette - - // TODO: not tested code var keep = [], uniqueColors = 0, idx, pruned = false; for (var i = 0, len = idxi32.length; i < len; i++) { // palette length reached, unset all remaining colors (sparse palette) - if (uniqueColors >= this._colors) { - this.prunePal(keep); + if (uniqueColors >= colors) { + palette.prunePal(keep); pruned = true; break; } else { - idx = this.nearestIndex(idxi32[i]); + idx = palette.nearestIndex(idxi32[i]); if (keep.indexOf(idx) < 0) { keep.push(idx); uniqueColors++; @@ -341,87 +286,90 @@ module ColorQuantization { } if (!pruned) { - this.prunePal(keep); + palette.prunePal(keep); pruned = true; } } + } + + // reduces similar colors from an importance-sorted Uint32 rgba array + private _buildPalette(idxi32) { + var palette : Palette = new Palette(); + // reduce histogram to create initial palette - else { - // build full rgb palette - var idxrgb = idxi32.map(function (i32) { - return [ - (i32 & 0xff), - (i32 >>> 8) & 0xff, - (i32 >>> 16) & 0xff, - (i32 >>> 24) & 0xff - ]; - }); + // build full rgb palette + var idxrgb = idxi32.map(function (i32) { + return [ + (i32 & 0xff), + (i32 >>> 8) & 0xff, + (i32 >>> 16) & 0xff, + (i32 >>> 24) & 0xff + ]; + }); - var len = idxrgb.length, - palLen = len, - thold = this._initDist; + var len = idxrgb.length, + palLen = len, + thold = this._initDist; - // palette already at or below desired length - if (palLen > this._colors) { - while (palLen > this._colors) { - var memDist = []; + // palette already at or below desired length + if (palLen > this._colors) { + while (palLen > this._colors) { + var memDist = []; - // iterate palette - for (var i = 0; i < len; i++) { - var pxi = idxrgb[ i ]; - if (!pxi) continue; + // iterate palette + for (var i = 0; i < len; i++) { + var pxi = idxrgb[i]; + if (!pxi) continue; - for (var j = i + 1; j < len; j++) { - var pxj = idxrgb[ j ]; - if (!pxj) continue; + for (var j = i + 1; j < len; j++) { + var pxj = idxrgb[j]; + if (!pxj) continue; - var dist = Utils.distEuclidean(pxi, pxj); + var dist = Utils.distEuclidean(pxi, pxj); - if (dist < thold) { - // store index,rgb,dist - memDist.push([ j, pxj, dist ]); + if (dist < thold) { + // store index,rgb,dist + memDist.push([j, pxj, dist]); - // kill squashed value - //delete(idxrgb[ j ]); - idxrgb[ j ] = null; - palLen--; - } + idxrgb[j] = null; + palLen--; } } + } - // palette reduction pass - // console.log("palette length: " + palLen); + // palette reduction pass + // console.log("palette length: " + palLen); - // if palette is still much larger than target, increment by larger initDist - thold += (palLen > this._colors * 3) ? this._initDist : this._distIncr; - } + // if palette is still much larger than target, increment by larger initDist + thold += (palLen > this._colors * 3) ? this._initDist : this._distIncr; + } - // if palette is over-reduced, re-add removed colors with largest distances from last round - if (palLen < this._colors) { - // sort descending - Utils.sort.call(memDist, function (a, b) { - return b[ 2 ] - a[ 2 ]; - }); + // if palette is over-reduced, re-add removed colors with largest distances from last round + if (palLen < this._colors) { + // sort descending + Utils.sort.call(memDist, function (a, b) { + return b[2] - a[2]; + }); - var k = 0; - while (palLen < this._colors) { - // re-inject rgb into final palette - idxrgb[ memDist[ k ][ 0 ] ] = memDist[ k ][ 1 ]; + var k = 0; + while (palLen < this._colors) { + // re-inject rgb into final palette + idxrgb[memDist[k][0]] = memDist[k][1]; - palLen++; - k++; - } + palLen++; + k++; } } + } - for (var i = 0, len = idxrgb.length; i < len; i++) { - if (!idxrgb[ i ]) continue; + for (var i = 0, len = idxrgb.length; i < len; i++) { + if (!idxrgb[i]) continue; - var point : Point = new Point(idxrgb[i]); - this._paletteArray.push(point); - this._i32idx[ point.uint32 ] = this._paletteArray.length - 1; - } + var point : Point = new Point(idxrgb[i]); + palette._paletteArray.push(point); } + + return palette; } // global top-population @@ -490,36 +438,6 @@ module ColorQuantization { this._hueStats.inject(histG); } - // TODO: group very low lum and very high lum colors - // TODO: pass custom sort order - public sortPal() { - this._paletteArray.sort((a : Point, b : Point) => { - var rgbA = a.rgba, - rgbB = b.rgba; - - var hslA = Utils.rgb2hsl(rgbA[ 0 ], rgbA[ 1 ], rgbA[ 2 ]), - hslB = Utils.rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); - - // sort all grays + whites together - var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, this._hueGroups); - var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, this._hueGroups); - - var hueDiff = hueB - hueA; - if (hueDiff) return -hueDiff; - - var lumDiff = Utils.lumGroup(+hslB.l.toFixed(2)) - Utils.lumGroup(+hslA.l.toFixed(2)); - if (lumDiff) return -lumDiff; - - var satDiff = Utils.satGroup(+hslB.s.toFixed(2)) - Utils.satGroup(+hslA.s.toFixed(2)); - if (satDiff) return -satDiff; - }); - - // sync idxrgb & i32idx - this._paletteArray.forEach(function (point : Point, i) { - this._i32idx[ point.uint32 ] = i; - }, this); - } - // iterates @bbox within a parent rect of width @wid; calls @fn, passing index within parent public iterBox(bbox, wid, fn) { var b = bbox, @@ -533,95 +451,13 @@ module ColorQuantization { } while (i <= i1); } - // TOTRY: use HUSL - http://boronine.com/husl/ - public nearestColor(point : Point) : Point { - return this._paletteArray[ this.nearestIndex_Point(point) | 0 ]; - } - - // TOTRY: use HUSL - http://boronine.com/husl/ - public nearestIndex(i32) { -/* - // alpha 0 returns null index - if ((i32 & 0xff000000) >> 24 == 0) - return null; -*/ - - if (this._useCache && ("" + i32) in this._i32idx) { - return this._i32idx[i32]; - } - - var min = 1000, - idx, - rgb = [ - (i32 & 0xff), - (i32 >>> 8) & 0xff, - (i32 >>> 16) & 0xff, - (i32 >>> 24) & 0xff - ], - len = this._paletteArray.length; - - for (var i = 0; i < len; i++) { - if (!this._paletteArray[ i ]) continue; // sparse palettes - - var dist = Utils.distEuclidean(rgb, this._paletteArray[ i ].rgba); - - if (dist < min) { - min = dist; - idx = i; - } - } - - this._i32idx[i32] = idx; - return idx; - } - - private _nearestPointFromCache(key) { - return typeof this._i32idx[key] === "number" ? this._i32idx[key] : -1; - } - - public nearestIndex_Point(point : Point) : number { - /* - // alpha 0 returns null index - if ((i32 & 0xff000000) >> 24 == 0) - return null; - */ - - if(this._useCache) { - var idx2 = this._nearestPointFromCache("" + point.uint32); - if(idx2 >= 0) return idx2; - } -/* - if (this._useCache && typeof this._i32idx["" + point.uint32] === "number") { - return this._i32idx[ "" + point.uint32]; - } -*/ -/* - if (this._useCache && ("" + point.uint32) in this._i32idx) { - return this._i32idx[ "" + point.uint32]; - } -*/ - - var minimalDistance = 1000, - idx = 0; - - for (var i = 0, l = this._paletteArray.length; i < l; i++) { - if (!this._paletteArray[ i ]) continue; // sparse palettes - - var distance = Utils.distEuclidean(point.rgba, this._paletteArray[ i ].rgba); - - if (distance < minimalDistance) { - minimalDistance = distance; - idx = i; - } - } - - this._i32idx[point.uint32] = idx; - return idx; - } + // TODO: do we need this caching? we will build cache during first usage of each color. disabled for now public cacheHistogram(idxi32) { +/* for (var i = 0, i32 = idxi32[ i ]; i < idxi32.length && this._histogram[ i32 ] >= this._cacheFreq; i32 = idxi32[ i++ ]) this._i32idx[ i32 ] = this.nearestIndex(i32); +*/ } } diff --git a/ts/palette.ts b/ts/palette.ts new file mode 100644 index 0000000..4ca5385 --- /dev/null +++ b/ts/palette.ts @@ -0,0 +1,119 @@ +/// +// TODO: make paletteArray via pointBuffer, so, export will be available via pointBuffer.exportXXX +module ColorQuantization { + + export class Palette { + public _paletteArray : Point[] = []; + private _i32idx : { [ key: string ] : number } = {}; + + // TOTRY: use HUSL - http://boronine.com/husl/ + public nearestColor(point : Point) : Point { + return this._paletteArray[this.nearestIndex_Point(point) | 0]; + } + + // TOTRY: use HUSL - http://boronine.com/husl/ + public nearestIndex(i32) { + var idx : number = this._nearestPointFromCache("" + i32); + if (idx >= 0) return idx; + + var min = 1000, + rgb = [ + (i32 & 0xff), + (i32 >>> 8) & 0xff, + (i32 >>> 16) & 0xff, + (i32 >>> 24) & 0xff + ], + len = this._paletteArray.length; + + idx = 0; + for (var i = 0; i < len; i++) { + if (!this._paletteArray[i]) continue; // sparse palettes + + var dist = Utils.distEuclidean(rgb, this._paletteArray[i].rgba); + + if (dist < min) { + min = dist; + idx = i; + } + } + + this._i32idx[i32] = idx; + return idx; + } + + private _nearestPointFromCache(key) { + return typeof this._i32idx[key] === "number" ? this._i32idx[key] : -1; + } + + public nearestIndex_Point(point : Point) : number { + var idx : number = this._nearestPointFromCache("" + point.uint32); + if (idx >= 0) return idx; + + var minimalDistance : number = 1000.0; + + for (var idx = 0, i = 0, l = this._paletteArray.length; i < l; i++) { + if (!this._paletteArray[i]) continue; // sparse palettes + + var distance = Utils.distEuclidean(point.rgba, this._paletteArray[i].rgba); + + if (distance < minimalDistance) { + minimalDistance = distance; + idx = i; + } + } + + this._i32idx[point.uint32] = idx; + return idx; + } + + // TODO: check usage, not tested! + public prunePal(keep : number[]) { + var point : Point; + + for (var j = 0; j < this._paletteArray.length; j++) { + if (keep.indexOf(j) < 0) { + this._paletteArray[j] = null; + } + } + + // compact + var compactedPaletteArray : Point[] = []; + + for (var j = 0, i = 0; j < this._paletteArray.length; j++) { + if (this._paletteArray[j]) { + point = this._paletteArray[j]; + compactedPaletteArray[i] = point; + i++; + } + } + + this._paletteArray = compactedPaletteArray; + } + + // TODO: group very low lum and very high lum colors + // TODO: pass custom sort order + public sort(hueGroups : number) { + this._paletteArray.sort((a : Point, b : Point) => { + var rgbA = a.rgba, + rgbB = b.rgba; + + var hslA = Utils.rgb2hsl(rgbA[ 0 ], rgbA[ 1 ], rgbA[ 2 ]), + hslB = Utils.rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); + + // sort all grays + whites together + var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, hueGroups); + var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, hueGroups); + + var hueDiff = hueB - hueA; + if (hueDiff) return -hueDiff; + + var lumDiff = Utils.lumGroup(+hslB.l.toFixed(2)) - Utils.lumGroup(+hslA.l.toFixed(2)); + if (lumDiff) return -lumDiff; + + var satDiff = Utils.satGroup(+hslB.s.toFixed(2)) - Utils.satGroup(+hslA.s.toFixed(2)); + if (satDiff) return -satDiff; + }); + } + + } +} From 123de11a51326a760761f4b03f457ca57d2cfdc5 Mon Sep 17 00:00:00 2001 From: Igor Date: Sat, 16 May 2015 11:07:31 +0300 Subject: [PATCH 20/23] refactoring --- ts/colorQuant.ts | 125 ++++++++++++++++++++------------------------ ts/hueStatistics.ts | 8 +-- ts/palette.ts | 5 +- 3 files changed, 64 insertions(+), 74 deletions(-) diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 485deb0..8a13b4d 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -93,7 +93,7 @@ module ColorQuantization { this._minHueCols = this._colors << 2;//opts.minHueCols || 0; // HueStatistics instance - this._hueStats = this._minHueCols ? new HueStatistics(this._hueGroups, this._minHueCols) : null; + this._hueStats = new HueStatistics(this._hueGroups, this._minHueCols); // dithering/error diffusion kernel name if (typeof this._dithKern === "number") this._dithKern = opts.dithKern; @@ -106,10 +106,10 @@ module ColorQuantization { public sample(pointBuffer : PointBuffer) { switch (this._method) { case 1: - this.colorStats1D(pointBuffer); + this._colorStats1D(pointBuffer); break; case 2: - this.colorStats2D(pointBuffer); + this._colorStats2D(pointBuffer); break; } } @@ -212,7 +212,21 @@ module ColorQuantization { return pointBuffer; } - public getImportanceSortedColorsIDXI32() { + + // reduces histogram to palette, remaps & memoizes reduced colors + public palette() : Palette { + var idxi32 = this._getImportanceSortedColorsIDXI32(), + palette : Palette = this._buildPalette(idxi32); + + palette.sort(this._hueGroups); + return palette; +/* + var uint32Array = this._palette._paletteArray.map(point => point.uint32); + return tuples ? this._palette._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); +*/ + } + + private _getImportanceSortedColorsIDXI32() { var sorted = Utils.sortedHashKeys(this._histogram, true); if (sorted.length == 0) @@ -232,8 +246,7 @@ module ColorQuantization { idxi32.push(sorted[ pos++ ]); // inject min huegroup colors - if (this._hueStats) - this._hueStats.inject(idxi32); + this._hueStats.inject(idxi32); break; case 2: @@ -249,49 +262,6 @@ module ColorQuantization { return idxi32; } - // reduces histogram to palette, remaps & memoizes reduced colors - public palette() : Palette { - var idxi32 = this.getImportanceSortedColorsIDXI32(), - palette : Palette = this._buildPalette(idxi32); - - palette.sort(this._hueGroups); - return palette; -/* - var uint32Array = this._palette._paletteArray.map(point => point.uint32); - return tuples ? this._palette._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); -*/ - } - - // TODO: not tested method - private _reducePalette(palette : Palette, colors : number) { - if (palette._paletteArray.length > colors) { - var idxi32 = this.getImportanceSortedColorsIDXI32(); - - // quantize histogram to existing palette - var keep = [], uniqueColors = 0, idx, pruned = false; - - for (var i = 0, len = idxi32.length; i < len; i++) { - // palette length reached, unset all remaining colors (sparse palette) - if (uniqueColors >= colors) { - palette.prunePal(keep); - pruned = true; - break; - } else { - idx = palette.nearestIndex(idxi32[i]); - if (keep.indexOf(idx) < 0) { - keep.push(idx); - uniqueColors++; - } - } - } - - if (!pruned) { - palette.prunePal(keep); - pruned = true; - } - } - } - // reduces similar colors from an importance-sorted Uint32 rgba array private _buildPalette(idxi32) { var palette : Palette = new Palette(); @@ -372,8 +342,38 @@ module ColorQuantization { return palette; } + // TODO: not tested method + private _reducePalette(palette : Palette, colors : number) { + if (palette._paletteArray.length > colors) { + var idxi32 = this._getImportanceSortedColorsIDXI32(); + + // quantize histogram to existing palette + var keep = [], uniqueColors = 0, idx, pruned = false; + + for (var i = 0, len = idxi32.length; i < len; i++) { + // palette length reached, unset all remaining colors (sparse palette) + if (uniqueColors >= colors) { + palette.prunePal(keep); + pruned = true; + break; + } else { + idx = palette.nearestIndex(idxi32[i]); + if (keep.indexOf(idx) < 0) { + keep.push(idx); + uniqueColors++; + } + } + } + + if (!pruned) { + palette.prunePal(keep); + pruned = true; + } + } + } + // global top-population - public colorStats1D(pointBuffer : PointBuffer) { + private _colorStats1D(pointBuffer : PointBuffer) { var histG = this._histogram, pointArray = pointBuffer.getPointArray(), len = pointArray.length; @@ -385,8 +385,7 @@ module ColorQuantization { //if ((col & 0xff000000) >> 24 == 0) continue; // collect hue stats - if (this._hueStats) - this._hueStats.check(col); + this._hueStats.check(col); if (col in histG) histG[ col ]++; @@ -398,7 +397,7 @@ module ColorQuantization { // population threshold within subregions // FIXME: this can over-reduce (few/no colors same?), need a way to keep // important colors that dont ever reach local thresholds (gradients?) - public colorStats2D(pointBuffer : PointBuffer) { + private _colorStats2D(pointBuffer : PointBuffer) { var width = pointBuffer.getWidth(), height = pointBuffer.getHeight(), pointArray = pointBuffer.getPointArray(); @@ -413,15 +412,14 @@ module ColorQuantization { var effc = Math.max(Math.round((box.w * box.h) / area) * this._boxPxls, 2), histL = {}, col; - this.iterBox(box, width, function (i) { + this._iterBox(box, width, function (i) { col = pointArray[i].uint32; // skip transparent //if ((col & 0xff000000) >> 24 == 0) return; // collect hue stats - if (this._hueStats) - this._hueStats.check(col); + this._hueStats.check(col); if (col in histG) histG[ col ]++; @@ -434,12 +432,12 @@ module ColorQuantization { }); }, this); - if (this._hueStats) - this._hueStats.inject(histG); + // inject min huegroup colors + this._hueStats.inject(histG); } // iterates @bbox within a parent rect of width @wid; calls @fn, passing index within parent - public iterBox(bbox, wid, fn) { + private _iterBox(bbox, wid, fn) { var b = bbox, i0 = b.y * wid + b.x, i1 = (b.y + b.h - 1) * wid + (b.x + b.w - 1), @@ -450,15 +448,6 @@ module ColorQuantization { i += (++cnt % b.w == 0) ? incr : 1; } while (i <= i1); } - - - // TODO: do we need this caching? we will build cache during first usage of each color. disabled for now - public cacheHistogram(idxi32) { -/* - for (var i = 0, i32 = idxi32[ i ]; i < idxi32.length && this._histogram[ i32 ] >= this._cacheFreq; i32 = idxi32[ i++ ]) - this._i32idx[ i32 ] = this.nearestIndex(i32); -*/ - } } } diff --git a/ts/hueStatistics.ts b/ts/hueStatistics.ts index bd8489f..ef50ca1 100644 --- a/ts/hueStatistics.ts +++ b/ts/hueStatistics.ts @@ -15,9 +15,9 @@ module ColorQuantization { constructor(numGroups : number, minCols : number) { this._numGroups = numGroups; this._minCols = minCols; - this._stats = {}; + this._stats = []; - for (var i = -1; i < numGroups; i++) { + for (var i = 0; i <= numGroups; i++) { this._stats[i] = new HueGroup(); } @@ -34,7 +34,7 @@ module ColorQuantization { g = (i32 >>> 8) & 0xff, b = (i32 >>> 16) & 0xff, a = (i32 >>> 24) & 0xff, - hg = (r == g && g == b) ? -1 : Utils.hueGroup(Utils.rgb2hsl(r, g, b).h, this._numGroups), + hg = (r == g && g == b) ? 0 : 1 + Utils.hueGroup(Utils.rgb2hsl(r, g, b).h, this._numGroups), gr : HueGroup = this._stats[ hg ], min = this._minCols; @@ -50,7 +50,7 @@ module ColorQuantization { } public inject(histG) { - for (var i = -1; i < this._numGroups; i++) { + for (var i = 0; i <= this._numGroups; i++) { if (this._stats[ i ].num <= this._minCols) { switch (Utils.typeOf(histG)) { case "Array": diff --git a/ts/palette.ts b/ts/palette.ts index 4ca5385..e9af532 100644 --- a/ts/palette.ts +++ b/ts/palette.ts @@ -92,6 +92,7 @@ module ColorQuantization { // TODO: group very low lum and very high lum colors // TODO: pass custom sort order + // TODO: sort criteria function should be placed to HueStats class public sort(hueGroups : number) { this._paletteArray.sort((a : Point, b : Point) => { var rgbA = a.rgba, @@ -101,8 +102,8 @@ module ColorQuantization { hslB = Utils.rgb2hsl(rgbB[ 0 ], rgbB[ 1 ], rgbB[ 2 ]); // sort all grays + whites together - var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? -1 : Utils.hueGroup(hslA.h, hueGroups); - var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? -1 : Utils.hueGroup(hslB.h, hueGroups); + var hueA = (rgbA[ 0 ] == rgbA[ 1 ] && rgbA[ 1 ] == rgbA[ 2 ]) ? 0 : 1 + Utils.hueGroup(hslA.h, hueGroups); + var hueB = (rgbB[ 0 ] == rgbB[ 1 ] && rgbB[ 1 ] == rgbB[ 2 ]) ? 0 : 1 + Utils.hueGroup(hslB.h, hueGroups); var hueDiff = hueB - hueA; if (hueDiff) return -hueDiff; From e8de6604c0b2dd19e3c7d89a8cee8d562e71c737 Mon Sep 17 00:00:00 2001 From: Igor Date: Sat, 16 May 2015 15:37:12 +0300 Subject: [PATCH 21/23] refactoring --- ts/colorQuant.ts | 245 +++++++++++++++++++++++++++++++--------------- ts/palette.ts | 7 +- ts/point.ts | 40 +++++++- ts/pointBuffer.ts | 2 +- 4 files changed, 206 insertions(+), 88 deletions(-) diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index 8a13b4d..b95af43 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -1,9 +1,9 @@ /* -* Copyright (c) 2015, Leon Sorokin -* All rights reserved. (MIT Licensed) -* -* RgbQuant.js - an image quantization lib -*/ + * Copyright (c) 2015, Leon Sorokin + * All rights reserved. (MIT Licensed) + * + * RgbQuant.js - an image quantization lib + */ /// /// @@ -45,7 +45,7 @@ module ColorQuantization { private _hueStats : HueStatistics; // subregion partitioning box size - private _boxSize = [ 64, 64 ]; + private _boxSize = [64, 64]; // number of same pixels required within box for histogram inclusion private _boxPxls = 2; @@ -68,12 +68,6 @@ module ColorQuantization { // accumulated histogram private _histogram = {}; - //private _paletteArray : Point[] = []; - private _palette : Palette; - - // enable color caching (also incurs overhead of cache misses and cache building) - private _useCache = true; - // min color occurance count needed to qualify for caching private _cacheFreq = 10; @@ -92,14 +86,14 @@ module ColorQuantization { // if > 0, enables hues stats and min-color retention per group this._minHueCols = this._colors << 2;//opts.minHueCols || 0; - // HueStatistics instance - this._hueStats = new HueStatistics(this._hueGroups, this._minHueCols); - // dithering/error diffusion kernel name if (typeof this._dithKern === "number") this._dithKern = opts.dithKern; // accumulated histogram this._histogram = {}; + + // HueStatistics instance + this._hueStats = new HueStatistics(this._hueGroups, this._minHueCols); } // gathers histogram info @@ -126,52 +120,67 @@ module ColorQuantization { // reduce w/dither var start = Date.now(); - console.profile("__!dither"); + //console.profile("__!dither"); if (dithKern) { - pointBuffer = this.dither(pointBuffer, palette, dithKern, dithSerp); + //pointBuffer = this.ditherRiemer(pointBuffer, palette); + pointBuffer = this.dither(pointBuffer, palette, dithKern); + } else { + var pointArray = pointBuffer.getPointArray(); + for (var i = 0, len = pointArray.length; i < len; i++) { + pointArray[ i ].from(palette.nearestColor(pointArray[ i ])); + } } - (console).profileEnd("__!dither"); + //(console).profileEnd("__!dither"); console.log("[dither]: " + (Date.now() - start)); - var pointArray = pointBuffer.getPointArray(), - len : number = pointArray.length; - - for (var i = 0; i < len; i++) { - pointArray[ i ].from(palette.nearestColor(pointArray[ i ])); - } - + /* + var pointArray = pointBuffer.getPointArray(), + len : number = pointArray.length; + + for (var i = 0; i < len; i++) { + for(var p = 0, found = false; p < palette._paletteArray.length; p++) { + if(palette._paletteArray[p].uint32 === pointArray[i].uint32) { + found = true; + } + } + if(!found) throw new Error("x"); + //pointArray[ i ].from(palette.nearestColor(pointArray[ i ])); + } + + */ return pointBuffer; } // adapted from http://jsbin.com/iXofIji/2/edit by PAEz - public dither(pointBuffer : PointBuffer, palette : Palette, kernel, serpentine) : PointBuffer { - if (!kernel || !kernels[ kernel ]) { + public dither(pointBuffer : PointBuffer, palette : Palette, kernel) : PointBuffer { + if (!kernel || !kernels[kernel]) { throw 'Unknown dithering kernel: ' + kernel; } - var ds = kernels[ kernel ]; + var ds = kernels[kernel]; var pointArray = pointBuffer.getPointArray(), - width = pointBuffer.getWidth(), - height = pointBuffer.getHeight(), - dir = serpentine ? -1 : 1; + width = pointBuffer.getWidth(), + height = pointBuffer.getHeight(), + dir = 1; //(console).profile("dither"); for (var y = 0; y < height; y++) { - if (serpentine) - dir = dir * -1; + // always serpentine + if (true) dir = dir * -1; - var lni = y * width; + var lni = y * width, + xStart = dir == 1 ? 0 : width - 1, + xEnd = dir == 1 ? width : -1; - for (var x = (dir == 1 ? 0 : width - 1), xend = (dir == 1 ? width : 0); x !== xend; x += dir) { + for (var x = xStart, idx = lni + xStart; x !== xEnd; x += dir, idx += dir) { // Image pixel - var idx = lni + x, - p1 = pointArray[ idx ]; + var p1 = pointArray[idx]; // Reduced pixel var point = palette.nearestColor(p1); - pointArray[ idx ] = point; + pointArray[idx] = point; // dithering strength if (this._dithDelta) { @@ -186,16 +195,19 @@ module ColorQuantization { eb = p1.b - point.b, ea = p1.a - point.a; - for (var i = (dir == 1 ? 0 : ds.length - 1), end = (dir == 1 ? ds.length : 0); i !== end; i += dir) { - var x1 = ds[ i ][ 1 ] * dir, - y1 = ds[ i ][ 2 ]; + var dStart = dir == 1 ? 0 : ds.length - 1, + dEnd = dir == 1 ? ds.length : -1; + + for (var i = dStart; i !== dEnd; i += dir) { + var x1 = ds[i][1] * dir, + y1 = ds[i][2]; var lni2 = y1 * width; if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) { - var d = ds[ i ][ 0 ]; + var d = ds[i][0]; var idx2 = idx + (lni2 + x1), - p3 = pointArray[idx2]; + p3 = pointArray[idx2]; var r4 = Math.max(0, Math.min(255, p3.r + er * d)), g4 = Math.max(0, Math.min(255, p3.g + eg * d)), @@ -212,18 +224,78 @@ module ColorQuantization { return pointBuffer; } + // adapted from http://jsbin.com/iXofIji/2/edit by PAEz + /* + public ditherRiemer(pointBuffer : PointBuffer, palette : Palette) : PointBuffer { + var pointArray = pointBuffer.getPointArray(), + width = pointBuffer.getWidth(), + height = pointBuffer.getHeight(), + errorArray = [], + weightsArray = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]; + + var sum = 0; + for(var i = 0; i < weightsArray.length; i++) { + sum += weightsArray[i]; + } + for(var i = 0; i < weightsArray.length; i++) { + weightsArray[i] /= sum; + } + + for(var i = 0; i < 4; i++) { + errorArray[i] = []; + for(var j = 0; j < weightsArray.length; j++) { + errorArray[i].push(0); + } + } + + function simpleCurve(width, height, callback : (x : number, y : number, index : number) => void) { + for (var y = 0, index = 0; y < height; y++) { + for (var x = 0; x < width; x++, index++) { + callback(x, y, index); + } + + } + } + + simpleCurve(width, height, (x, y, index) => { + var p = pointArray[ index]; + + for(var quadrupletIndex = 0; quadrupletIndex < errorArray.length; quadrupletIndex++) { + var sum = 0; + for(var errorArrayIndex = 0; errorArrayIndex < errorArray.length; errorArrayIndex++) { + sum += errorArray[quadrupletIndex][errorArrayIndex] * weightsArray[errorArrayIndex]; + } + + p.rgba[quadrupletIndex] = Math.max(0, Math.min(255, (p.rgba[quadrupletIndex] + sum) | 0)); + } + + var correctedPoint = Point.createByQuadruplet(p.rgba), + palettePoint = palette.nearestColor(correctedPoint); + + for(var quadrupletIndex = 0; quadrupletIndex < errorArray.length; quadrupletIndex++) { + var componentErrorArray = errorArray[quadrupletIndex]; + componentErrorArray.shift(); + componentErrorArray.push(p.rgba[quadrupletIndex] - palettePoint.rgba[quadrupletIndex]); + } + + p.from(palettePoint); + }); + return pointBuffer; + } + + */ // reduces histogram to palette, remaps & memoizes reduced colors public palette() : Palette { - var idxi32 = this._getImportanceSortedColorsIDXI32(), + var idxi32 = this._getImportanceSortedColorsIDXI32(), palette : Palette = this._buildPalette(idxi32); palette.sort(this._hueGroups); return palette; -/* - var uint32Array = this._palette._paletteArray.map(point => point.uint32); - return tuples ? this._palette._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); -*/ + /* + var uint32Array = this._palette._paletteArray.map(point => point.uint32); + return tuples ? this._palette._paletteArray : new Uint8Array((new Uint32Array(uint32Array)).buffer); + */ } private _getImportanceSortedColorsIDXI32() { @@ -234,16 +306,16 @@ module ColorQuantization { switch (this._method) { case 1: - var initialColorsLimit = Math.min(sorted.length, this._initColors ), - last = sorted[ initialColorsLimit - 1 ], - freq = this._histogram[ last ]; + var initialColorsLimit = Math.min(sorted.length, this._initColors), + last = sorted[initialColorsLimit - 1], + freq = this._histogram[last]; var idxi32 = sorted.slice(0, initialColorsLimit); // add any cut off colors with same freq as last var pos = initialColorsLimit, len = sorted.length; - while (pos < len && this._histogram[ sorted[ pos ] ] == freq) - idxi32.push(sorted[ pos++ ]); + while (pos < len && this._histogram[sorted[pos]] == freq) + idxi32.push(sorted[pos++]); // inject min huegroup colors this._hueStats.inject(idxi32); @@ -264,10 +336,9 @@ module ColorQuantization { // reduces similar colors from an importance-sorted Uint32 rgba array private _buildPalette(idxi32) { - var palette : Palette = new Palette(); - // reduce histogram to create initial palette // build full rgb palette + var idxrgb = idxi32.map(function (i32) { return [ (i32 & 0xff), @@ -276,6 +347,15 @@ module ColorQuantization { (i32 >>> 24) & 0xff ]; }); + /* + var workPalette : Palette = new Palette(), + pointArray = workPalette._paletteArray, + pointIndex, l; + + for(pointIndex = 0, l = idxi32.length; pointIndex < l; pointIndex++) { + pointArray.push(new Point(idxi32[pointIndex])); + } + */ var len = idxrgb.length, palLen = len, @@ -322,7 +402,7 @@ module ColorQuantization { }); var k = 0; - while (palLen < this._colors) { + while (palLen < this._colors && k < memDist.length) { // re-inject rgb into final palette idxrgb[memDist[k][0]] = memDist[k][1]; @@ -332,12 +412,18 @@ module ColorQuantization { } } - for (var i = 0, len = idxrgb.length; i < len; i++) { - if (!idxrgb[i]) continue; - - var point : Point = new Point(idxrgb[i]); - palette._paletteArray.push(point); + var palette : Palette = new Palette(); + for (var pointIndex = 0, l = idxrgb.length; pointIndex < l; pointIndex++) { + if (!idxrgb[pointIndex]) continue; + palette._paletteArray.push(Point.createByQuadruplet(idxrgb[pointIndex])); } + /* + var palette : Palette = new Palette(); + for (pointIndex = 0, l = pointArray.length; pointIndex < l; pointIndex++) { + if (!pointArray[pointIndex]) continue; + palette._paletteArray.push(pointArray[pointIndex]); + } + */ return palette; } @@ -374,9 +460,9 @@ module ColorQuantization { // global top-population private _colorStats1D(pointBuffer : PointBuffer) { - var histG = this._histogram, + var histG = this._histogram, pointArray = pointBuffer.getPointArray(), - len = pointArray.length; + len = pointArray.length; for (var i = 0; i < len; i++) { var col = pointArray[i].uint32; @@ -388,9 +474,9 @@ module ColorQuantization { this._hueStats.check(col); if (col in histG) - histG[ col ]++; + histG[col]++; else - histG[ col ] = 1; + histG[col] = 1; } } @@ -398,19 +484,20 @@ module ColorQuantization { // FIXME: this can over-reduce (few/no colors same?), need a way to keep // important colors that dont ever reach local thresholds (gradients?) private _colorStats2D(pointBuffer : PointBuffer) { - var width = pointBuffer.getWidth(), - height = pointBuffer.getHeight(), + var width = pointBuffer.getWidth(), + height = pointBuffer.getHeight(), pointArray = pointBuffer.getPointArray(); - var boxW = this._boxSize[ 0 ], - boxH = this._boxSize[ 1 ], - area = boxW * boxH, + var boxW = this._boxSize[0], + boxH = this._boxSize[1], + area = boxW * boxH, boxes = Utils.makeBoxes(width, height, boxW, boxH), histG = this._histogram; boxes.forEach(function (box) { - var effc = Math.max(Math.round((box.w * box.h) / area) * this._boxPxls, 2), - histL = {}, col; + var effc = Math.max(Math.round((box.w * box.h) / area) * this._boxPxls, 2), + histL = {}, + col; this._iterBox(box, width, function (i) { col = pointArray[i].uint32; @@ -422,13 +509,13 @@ module ColorQuantization { this._hueStats.check(col); if (col in histG) - histG[ col ]++; + histG[col]++; else if (col in histL) { - if (++histL[ col ] >= effc) - histG[ col ] = histL[ col ]; + if (++histL[col] >= effc) + histG[col] = histL[col]; } else - histL[ col ] = 1; + histL[col] = 1; }); }, this); @@ -438,9 +525,9 @@ module ColorQuantization { // iterates @bbox within a parent rect of width @wid; calls @fn, passing index within parent private _iterBox(bbox, wid, fn) { - var b = bbox, - i0 = b.y * wid + b.x, - i1 = (b.y + b.h - 1) * wid + (b.x + b.w - 1), + var b = bbox, + i0 = b.y * wid + b.x, + i1 = (b.y + b.h - 1) * wid + (b.x + b.w - 1), cnt = 0, incr = wid - b.w + 1, i = i0; do { diff --git a/ts/palette.ts b/ts/palette.ts index e9af532..1692b55 100644 --- a/ts/palette.ts +++ b/ts/palette.ts @@ -27,8 +27,6 @@ module ColorQuantization { idx = 0; for (var i = 0; i < len; i++) { - if (!this._paletteArray[i]) continue; // sparse palettes - var dist = Utils.distEuclidean(rgb, this._paletteArray[i].rgba); if (dist < min) { @@ -52,8 +50,6 @@ module ColorQuantization { var minimalDistance : number = 1000.0; for (var idx = 0, i = 0, l = this._paletteArray.length; i < l; i++) { - if (!this._paletteArray[i]) continue; // sparse palettes - var distance = Utils.distEuclidean(point.rgba, this._paletteArray[i].rgba); if (distance < minimalDistance) { @@ -81,8 +77,7 @@ module ColorQuantization { for (var j = 0, i = 0; j < this._paletteArray.length; j++) { if (this._paletteArray[j]) { - point = this._paletteArray[j]; - compactedPaletteArray[i] = point; + compactedPaletteArray[i] = this._paletteArray[j]; i++; } } diff --git a/ts/point.ts b/ts/point.ts index 8607053..49b6d1d 100644 --- a/ts/point.ts +++ b/ts/point.ts @@ -13,11 +13,47 @@ module ColorQuantization { public uint32 : number; public rgba : number[]; // TODO: better name is quadruplet or quad may be? - constructor(...args : number[]) { + static createByQuadruplet(quadruplet : number[]) : Point { + var point : Point = new Point(); + + point.r = quadruplet[0] | 0; + point.g = quadruplet[1] | 0; + point.b = quadruplet[2] | 0; + point.a = quadruplet[3] | 0; + point._loadUINT32(); + point._loadQuadruplet(); + + return point; + } + + static createByRGBA(red : number, green : number, blue : number, alpha : number): Point { + var point : Point = new Point(); + + point.r = red | 0; + point.g = green | 0; + point.b = blue | 0; + point.a = alpha | 0; + point._loadUINT32(); + point._loadQuadruplet(); + + return point; + } + + static createByUint32(uint32 : number) : Point { + var point : Point = new Point(); + + point.uint32 = uint32 >>> 0; + point._loadRGBA(); + point._loadQuadruplet(); + + return point; + } + + constructor(/*...args : number[]*/) { this.r = this.g = this.b = this.a = 0; this.rgba = [ this.r , this.g , this.b , this.a ]; this.uint32 = -1 >>> 0; - this.set(...args); + //this.set(...args); } public from(point : Point) { diff --git a/ts/pointBuffer.ts b/ts/pointBuffer.ts index a451dbd..332b64c 100644 --- a/ts/pointBuffer.ts +++ b/ts/pointBuffer.ts @@ -99,7 +99,7 @@ module ColorQuantization { this._pointArray = [];//new Array(uint32array.length); for(var i = 0, l = uint32array.length; i < l; i++) { - this._pointArray[i] = new Point(uint32array[i] | 0); // "| 0" is added for v8 optimization + this._pointArray[i] = Point.createByUint32(uint32array[i] | 0); // "| 0" is added for v8 optimization } } From a715225f85335bba468ee3ecd098945eeea68d9c Mon Sep 17 00:00:00 2001 From: Igor Date: Sun, 17 May 2015 19:03:07 +0300 Subject: [PATCH 22/23] dithering fixed, refactoring, code cleanup needed --- demo/js/demo.js | 20 ++++ ts/colorQuant.ts | 233 +++++++++++++++++++++++++++++++++++++++++++++- ts/pointBuffer.ts | 10 ++ 3 files changed, 262 insertions(+), 1 deletion(-) diff --git a/demo/js/demo.js b/demo/js/demo.js index ae9937c..6c73202 100644 --- a/demo/js/demo.js +++ b/demo/js/demo.js @@ -113,6 +113,7 @@ function process(srcs) { var pal8; ti.mark("build palette", function() { pal8 = quant.palette(); + //pal8 = quant.paletteMedianCut(); }); // TODO: temporary solution. see Palette class todo @@ -129,6 +130,25 @@ function process(srcs) { var img8; ti.mark("reduce '" + id + "'", function() { +/* + pal8 = new ColorQuantization.Palette(); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(10,49,4,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(80,148,15,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(149,172,45,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(173,209,79,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(181,215,166,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(161,176,175,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(219,231,196,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(56,236,56,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(116,167,148,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(200,20,128,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(54,101,7,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(196,94,54,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(56,92,200,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(58,235,200,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(200,92,200,255)); + pal8._paletteArray.push(ColorQuantization.Point.createByRGBA(56,20,200,255)); +*/ img8 = quant.reduce(pointBuffers[index], pal8).exportUint8Array(); }); diff --git a/ts/colorQuant.ts b/ts/colorQuant.ts index b95af43..82bbb3a 100644 --- a/ts/colorQuant.ts +++ b/ts/colorQuant.ts @@ -123,13 +123,33 @@ module ColorQuantization { //console.profile("__!dither"); if (dithKern) { //pointBuffer = this.ditherRiemer(pointBuffer, palette); - pointBuffer = this.dither(pointBuffer, palette, dithKern); + + if(typeof window["ditherx"] === "undefined") window["ditherx"] = true; + if( window["ditherx"]) { + pointBuffer = this.ditherFixWithCyclic(pointBuffer, palette, dithKern); + console.log("new (FIXED) dither") + } else { + pointBuffer = this.dither(pointBuffer, palette, dithKern); + console.log("old dither") + } + window["ditherx"] = !window["ditherx"]; } else { var pointArray = pointBuffer.getPointArray(); for (var i = 0, len = pointArray.length; i < len; i++) { pointArray[ i ].from(palette.nearestColor(pointArray[ i ])); } } + var pointArray = pointBuffer.getPointArray(), + len = pointArray.length; + + for (var i = 0; i < len; i++) { + for (var p = 0, found = false; p < palette._paletteArray.length; p++) { + if (palette._paletteArray[p].uint32 === pointArray[i].uint32) { + found = true; + } + } + if (!found) throw new Error("x"); + } //(console).profileEnd("__!dither"); console.log("[dither]: " + (Date.now() - start)); @@ -224,6 +244,192 @@ module ColorQuantization { return pointBuffer; } + // adapted from http://jsbin.com/iXofIji/2/edit by PAEz + // TODO: fixed version. it doesn't use image pixels as error storage + public ditherFix(pointBuffer : PointBuffer, palette : Palette, kernel) : PointBuffer { + if (!kernel || !kernels[kernel]) { + throw 'Unknown dithering kernel: ' + kernel; + } + + var ds = kernels[kernel]; + + var pointArray = pointBuffer.getPointArray(), + width = pointBuffer.getWidth(), + height = pointBuffer.getHeight(), + dir = 1, + errors = []; + + for(var i = 0; i < width * height; i++) errors[i] = [0,0,0,0]; + + //(console).profile("dither"); + for (var y = 0; y < height; y++) { + // always serpentine + if (true) dir = dir * -1; + + var lni = y * width, + xStart = dir == 1 ? 0 : width - 1, + xEnd = dir == 1 ? width : -1; + + for (var x = xStart, idx = lni + xStart; x !== xEnd; x += dir, idx += dir) { + // Image pixel + var p1 = pointArray[idx]; + + var r4 = Math.max(0, Math.min(255, p1.r + errors[idx][0])), + g4 = Math.max(0, Math.min(255, p1.g + errors[idx][1])), + b4 = Math.max(0, Math.min(255, p1.b + errors[idx][2])), + a4 = Math.max(0, Math.min(255, p1.a + errors[idx][3])); + + var np = Point.createByRGBA(r4, g4, b4, a4); + + // Reduced pixel + var point = palette.nearestColor(np); + + pointArray[idx].from(point); + + // dithering strength + if (this._dithDelta) { + var dist = Utils.distEuclidean(p1.rgba, point.rgba); + if (dist < this._dithDelta) + continue; + } + + // Component distance + point = np; + var er = p1.r - point.r, + eg = p1.g - point.g, + eb = p1.b - point.b, + ea = p1.a - point.a; + + var dStart = dir == 1 ? 0 : ds.length - 1, + dEnd = dir == 1 ? ds.length : -1; + + for (var i = dStart; i !== dEnd; i += dir) { + var x1 = ds[i][1] * dir, + y1 = ds[i][2]; + + var lni2 = y1 * width; + + if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) { + var d = ds[i][0]; + var idx2 = idx + (lni2 + x1), + e = errors[idx2]; + + e[0] = e[0] -er * d; + e[1] = e[1] -eg * d; + e[2] = e[2] -eb * d; + e[3] = e[3] -ea * d; + + //pointArray[idx2].set(r4, g4, b4, a4); + } + } + } + } + + //(console).profileEnd("dither"); + return pointBuffer; + } + // adapted from http://jsbin.com/iXofIji/2/edit by PAEz + // TODO: fixed version. it doesn't use image pixels as error storage + public ditherFixWithCyclic(pointBuffer : PointBuffer, palette : Palette, kernel) : PointBuffer { + if (!kernel || !kernels[kernel]) { + throw 'Unknown dithering kernel: ' + kernel; + } + + var ds = kernels[kernel]; + + function fillErrorLine(errorLine : number[][], width : number) { + for(var i = 0; i < width; i++) { + errorLine[i] = [0, 0,0 , 0]; + } + if(errorLine.length > width) { + errorLine.length = width; + } + } + + var pointArray = pointBuffer.getPointArray(), + width = pointBuffer.getWidth(), + height = pointBuffer.getHeight(), + dir = 1, + errorLines = []; + + // initial error lines (number is taken from kernel) + for(var i = 0, maxErrorLines = 1; i < ds.length; i++) { + maxErrorLines = Math.max(maxErrorLines, ds[i][2] + 1); + } + for(var i = 0; i < maxErrorLines; i++) { + fillErrorLine(errorLines[ i ] = [], width); + } + + //(console).profile("dither"); + for (var y = 0; y < height; y++) { + // always serpentine + if (true) dir = dir * -1; + + var lni = y * width, + xStart = dir == 1 ? 0 : width - 1, + xEnd = dir == 1 ? width : -1; + + // cyclic shift with erasing + fillErrorLine(errorLines[ 0 ], width); + errorLines.push(errorLines.shift()); + + var errorLine = errorLines[0]; + + for (var x = xStart, idx = lni + xStart; x !== xEnd; x += dir, idx += dir) { + // Image pixel + var p1 = pointArray[idx], + error = errorLine[x]; + + var r4 = Math.max(0, Math.min(255, p1.r + error[0])), + g4 = Math.max(0, Math.min(255, p1.g + error[1])), + b4 = Math.max(0, Math.min(255, p1.b + error[2])), + a4 = Math.max(0, Math.min(255, p1.a + error[3])); + + var np = Point.createByRGBA(r4, g4, b4, a4); + + // Reduced pixel + var point = palette.nearestColor(np); + + pointArray[idx].from(point); + + // dithering strength + if (this._dithDelta) { + var dist = Utils.distEuclidean(p1.rgba, point.rgba); + if (dist < this._dithDelta) + continue; + } + + // Component distance + point = np; + var er = p1.r - point.r, + eg = p1.g - point.g, + eb = p1.b - point.b, + ea = p1.a - point.a; + + var dStart = dir == 1 ? 0 : ds.length - 1, + dEnd = dir == 1 ? ds.length : -1; + + for (var i = dStart; i !== dEnd; i += dir) { + var x1 = ds[i][1] * dir, + y1 = ds[i][2]; + + if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) { + var d = ds[i][0], + e = errorLines[y1][x1 + x]; + + e[0] = e[0] -er * d; + e[1] = e[1] -eg * d; + e[2] = e[2] -eb * d; + e[3] = e[3] -ea * d; + } + } + } + } + + //(console).profileEnd("dither"); + return pointBuffer; + } + // adapted from http://jsbin.com/iXofIji/2/edit by PAEz /* public ditherRiemer(pointBuffer : PointBuffer, palette : Palette) : PointBuffer { @@ -285,12 +491,37 @@ module ColorQuantization { */ +/* + public paletteMedianCut () { + var idxi32 = this._getImportanceSortedColorsIDXI32(), + palette : Palette = new Palette(); + + var idxrgb = idxi32.map(function (i32) { + return [ + (i32 & 0xff), + (i32 >>> 8) & 0xff, + (i32 >>> 16) & 0xff, + (i32 >>> 24) & 0xff + ]; + }); + + init(idxrgb); + var arr = get_fixed_size_palette(this._colors); + for(var i = 0; i < arr.length; i++) { + palette._paletteArray.push(Point.createByQuadruplet(arr[i])); + } + console.log("MedianCut"); + return palette; + } +*/ + // reduces histogram to palette, remaps & memoizes reduced colors public palette() : Palette { var idxi32 = this._getImportanceSortedColorsIDXI32(), palette : Palette = this._buildPalette(idxi32); palette.sort(this._hueGroups); + console.log("Original"); return palette; /* var uint32Array = this._palette._paletteArray.map(point => point.uint32); diff --git a/ts/pointBuffer.ts b/ts/pointBuffer.ts index 332b64c..bdd746c 100644 --- a/ts/pointBuffer.ts +++ b/ts/pointBuffer.ts @@ -40,6 +40,16 @@ module ColorQuantization { return this._pointArray; } + public importPointBuffer(pointBuffer : PointBuffer) : void { + this._width = pointBuffer._width; + this._height = pointBuffer._height; + + this._pointArray = []; + for(var i = 0, l = pointBuffer._pointArray.length; i < l; i++) { + this._pointArray[i] = Point.createByUint32(pointBuffer._pointArray[i].uint32 | 0); // "| 0" is added for v8 optimization + } + } + public importHTMLImageElement(img : HTMLImageElement) : void { var width = img.naturalWidth, height = img.naturalHeight; From 8e2e7b0583df3fc94e8a7a427b2828e575afdf70 Mon Sep 17 00:00:00 2001 From: Igor Date: Sun, 17 May 2015 19:03:30 +0300 Subject: [PATCH 23/23] node-test added --- ts/node-test/_build_demo.cmd | 5 +++++ ts/node-test/_demo.ts | 29 +++++++++++++++++++++++++++++ ts/node-test/_test.cmd | 3 +++ 3 files changed, 37 insertions(+) create mode 100644 ts/node-test/_build_demo.cmd create mode 100644 ts/node-test/_demo.ts create mode 100644 ts/node-test/_test.cmd diff --git a/ts/node-test/_build_demo.cmd b/ts/node-test/_build_demo.cmd new file mode 100644 index 0000000..55bef50 --- /dev/null +++ b/ts/node-test/_build_demo.cmd @@ -0,0 +1,5 @@ +pushd %~dp0 +del /f/q _demo.js +del /f/q _demo.js.map +tsc _demo.ts --sourcemap --out _demo.js +popd diff --git a/ts/node-test/_demo.ts b/ts/node-test/_demo.ts new file mode 100644 index 0000000..978b6d8 --- /dev/null +++ b/ts/node-test/_demo.ts @@ -0,0 +1,29 @@ +/// + +var width = 32, + height = 32, + imageArray = []; + +for(var i = 0; i < width * height * 4; i++) { + imageArray[i] = (Math.random() * 256) | 0; +} + +for(var i = 0; i < 100; i++) { + var start = Date.now(); + + var cq = new ColorQuantization.RgbQuant({ + colors : 1024, + dithKern : "SierraLite" + }); + + var pointBuffer = new ColorQuantization.PointBuffer(); + pointBuffer.importArray(imageArray, width, height); + + cq.sample(pointBuffer); + + var pal8 = cq.palette(); + + var img8 = cq.reduce(pointBuffer, pal8).exportUint8Array(); + + console.log(i + ": " + (Date.now() - start)); +} diff --git a/ts/node-test/_test.cmd b/ts/node-test/_test.cmd new file mode 100644 index 0000000..a075489 --- /dev/null +++ b/ts/node-test/_test.cmd @@ -0,0 +1,3 @@ +del /q/f *.asm +del /q/f *.cfg +node --trace-hydrogen --trace-phase=Z --trace-deopt --code-comments --hydrogen-track-positions --redirect-code-traces --print_deopt_stress _demo.js \ No newline at end of file