🚀 IRVision AI

AI-Powered Infrared Image Colorization & Enhancement for Improved Object Interpretation

A Django-based prototype for enhancing and visualizing Thermal Infrared (TIR) satellite imagery.

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📖 Project Overview

IRVision AI is an open-source web application designed to improve the interpretation of Thermal Infrared (TIR) satellite imagery. The system enhances infrared images using advanced image processing techniques and generates semantic pseudo-color visualizations that make objects easier to interpret.

This project serves as a prototype for future AI-based super-resolution and infrared-to-RGB colorization using paired Landsat satellite datasets.

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✨ Features

• 📤 Upload Thermal Infrared (TIR) satellite images
• 🎨 Semantic pseudo-color visualization
• 🔍 Contrast enhancement using CLAHE
• ✨ Image sharpening using OpenCV
• 🖼️ Original vs Enhanced image comparison
• 📊 Interactive dashboard
• 📁 Project history management
• 💻 Clean and responsive user interface

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🛰️ Problem Statement

Thermal Infrared (TIR) satellite images are difficult to interpret because they are low-resolution and lack natural colors. This project aims to improve visual interpretation by enhancing image quality and generating meaningful pseudo-color outputs, helping users better analyze geographical features.

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🛠️ Technology Stack

Category	Technology
Backend	Python, Django
Frontend	HTML, CSS, JavaScript
Image Processing	OpenCV, NumPy
Database	SQLite
Version Control	Git & GitHub

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📂 Project Structure

IRVision-AI/
│
├── image_processor/
├── irvision_project/
├── templates/
├── media/
├── screenshots/
├── manage.py
├── requirements.txt
└── README.md

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⚙️ Installation

Clone the repository

git clone https://github.com/mahi17916/IRVision-AI.git

Move into project directory

cd IRVision-AI

Install dependencies

pip install -r requirements.txt

Apply migrations

python manage.py migrate

Run the server

python manage.py runserver

Open your browser:

http://127.0.0.1:8000/

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📸 Screenshots

🏠 Home Page

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📊 Dashboard

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📤 Upload Image

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🛰️ Analysis Results

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🚀 Future Scope

• Deep Learning based Pix2Pix GAN implementation
• AI-based Super Resolution
• Landsat 8/9 Dataset Integration
• PSNR, SSIM & FID Evaluation
• User Authentication
• Cloud Deployment
• Interactive Analytics Dashboard

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🌍 Applications

• Disaster Management
• Agriculture Monitoring
• Forest Analysis
• Urban Planning
• Water Body Detection
• Environmental Monitoring

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👩‍💻 Author

Mahi Kakkar

B.Tech (Internet of Things)

Open Source & AI Enthusiast

GitHub: https://github.com/mahi17916

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🤝 Contributing

Contributions are welcome!

Feel free to fork the repository, improve the project, and submit a Pull Request.

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⭐ Support

If you found this project useful, please consider giving it a Star ⭐ on GitHub.

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📄 License

This project is licensed under the MIT License.