Shadow Removal Using Retinex Center-Surround Algorithm
Implementation of shadow removal through Retinex center-surround algorithm with detailed technical specifications and corresponding program presentation slides
Retinex-Based Image Enhancement Algorithm with Multi-Scale Implementation
Implementation of multi-scale MSR (Multi-Scale Retinex) image enhancement algorithm based on Retinex theory, validated with experimental results
MATLAB Implementation of Retinex Image Enhancement Algorithm
MATLAB code implementation of Retinex image enhancement with detailed algorithm explanation and parameter optimization techniques
Template for Retinex, SSR, and Adaptive Contrast Enhancement Algorithms in Image Processing
This is a custom-developed template for retinex, SSR, and adaptive contrast enhancement algorithms in image processing, demonstrating significant effectiveness. It includes implementation approaches and parameter configurations to assist in your image processing projects.
Retinex Image Enhancement Algorithm SSR
The Retinex algorithm enables adaptive enhancement for various image types, offering superior adaptability compared to traditional single-method enhancement approaches. While conventional algorithms typically enhance only specific image features, Retinex achieves optimal balance in dynamic range compression, detail enhancement, and color correction through its multi-scale processing approach using Gaussian surround functions. Primarily applied in underwater image restoration, the algorithm's core implementation involves separating illumination and reflectance components through logarithmic operations and spatial filtering.
SSR, MSR, and Custom Improved Algorithms Based on Retinex Theory
An introduction to SSR and MSR algorithms based on Retinex theory, along with customized enhancements and implementation approaches for image processing applications.
Retinex-Based Image Defogging with Three Algorithm Implementations
Image defogging code based on Retinex theory, implementing three distinct methods: Single-Scale Retinex (SSR), Multi-Scale Retinex (MSR), and Self-Quotient Image (SQI) approach. Execute the test files in respective folders to generate corresponding defogging results, featuring Gaussian filtering implementations and parameter optimization capabilities.
Analysis of Cloud and Haze Removal in Remote Sensing Images Using Retinex and Wavelet Transform
Comprehensive analysis of cloud and haze removal techniques combining Retinex algorithm and wavelet transform for remote sensing image enhancement
Blind and Retinex-Based Foggy Image Processing Algorithms
This implementation includes two distinct programs for foggy image processing utilizing blind and Retinex-based approaches, complete with sample image demonstrations and algorithmic enhancements.
MSRCR Image Enhancement Algorithm Based on Retinex Theory
Source code implementation of Retinex-based MSRCR image enhancement algorithm with tested functionality and ready-to-use deployment