A project made by
Aditya Singh and
Ramandeep Singh Makkar
Our proposed FFA model is trained on RESIDE Dataset
The results formulated below are from Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang. 2019. Benchmarking Single-Image Dehazing and Beyond. Trans. Img. Proc. 28, 1 (Jan. 2019), 492–505. https://doi.org/10.1109/TIP.2018.2867951
| Models | Indoor(PSNR/SSIM) |
|---|---|
| DCP | 16.62/0.8179 |
| AOD-Net | 19.06/0.8504 |
| DehazeNet | 21.14/0.8472 |
| GFN | 22.30/0.8800 |
| GCANet | 30.23/0.9800 |
| Ours | 36.07/0.9874 |
Since working with only CPU, we are yet to refine the model more and make our results best. Below are the results of our model:
Also we have created the flask website for the same, It might stop working after January 2025 as its subscription will end,
so we have recorded the working of our website below (takes some time to load):
This is our browse option:
We also have added sample images to process directly:
