Template for Retinex, SSR, and Adaptive Contrast Enhancement Algorithms in Image Processing

This template contains my implementations of retinex, SSR, and adaptive contrast enhancement algorithms for image processing. These proven algorithms deliver excellent results in various image enhancement scenarios. The retinex algorithm simulates human visual perception mechanisms to improve image brightness and contrast, typically implemented through multi-scale Gaussian filtering and logarithmic domain operations. SSR (Statistical-based Super-Resolution) employs statistical analysis of image features to adjust luminance and contrast, often involving histogram equalization and statistical modeling techniques. The adaptive contrast enhancement algorithm dynamically adjusts contrast based on local image characteristics, utilizing sliding window techniques and regional statistics to enhance different areas adaptively, thereby improving overall image quality. The template includes configuration parameters for filter sizes, enhancement factors, and adaptive thresholds to optimize performance across various image types. I hope this template proves valuable for your image processing endeavors.