MATLAB Implementation of Image Processing Assignment: Retinex Algorithm

Resource Overview

This is my image processing coursework implementing the Retinex algorithm in MATLAB, featuring code structure explanations and practical implementation insights. Contact QQ: 474528266 for technical discussions.

Detailed Documentation

This is my recent image processing assignment completed for academic coursework, specifically involving the programming implementation of the Retinex algorithm. During this project, I implemented key Retinex components including single-scale retinex (SSR) and multi-scale retinex (MSR) approaches using MATLAB's image processing toolbox. The implementation involved critical steps such as logarithmic domain conversion, Gaussian filtering for illumination estimation, and reflectance component extraction.

While completing this assignment, I encountered several challenges including parameter optimization for Gaussian kernels and color restoration techniques, which I resolved through literature research and peer discussions. The code structure efficiently handles color image processing through channel-wise operations and incorporates dynamic range compression for display-ready outputs.

This project significantly enhanced my understanding of image enhancement algorithms and MATLAB programming techniques. I plan to continue exploring this field with focus on advanced variants like MSRCR (Multi-Scale Retinex with Color Restoration) and real-time implementation optimizations. For any technical questions or collaboration opportunities regarding image processing implementations, please contact me at QQ: 474528266. Thank you for your interest and support!