Histogram Equalization Processing
Histogram Equalization for Image Enhancement
Basic Adaptive Equalization Using LMS or RLS Methods
Basic adaptive equalization techniques employing Least Mean Squares (LMS) or Recursive Least Squares (RLS) algorithms, presented in an accessible manner ideal for beginners with code implementation insights.
Image Grayscale Stretching and Histogram Equalization Implementation
Processing a given image by generating its histogram, implementing linear transformation for grayscale stretching to enhance contrast, and performing histogram equalization for improved brightness distribution.
Three Histogram-Based Algorithms: Implementation and Analysis
This implementation provides three histogram-related algorithms: Histogram Equalization, Histogram Specification, and Contrast Limited Adaptive Histogram Equalization (CLAHE). Each algorithm is organized in separate directories containing corresponding test files that demonstrate their functionality through executable demonstrations.