MATLAB Implementation of Adaptive Histogram Equalization with Detail Enhancement for Image Processing

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Resource Overview

This is my MATLAB implementation of an adaptive histogram equalization algorithm designed to enhance image details, combining the advantages of detail-enhancing adaptive histograms and traditional histogram equalization techniques. The program includes comprehensive algorithm explanation and demonstrates practical implementation using MATLAB's image processing toolbox functions like adapthisteq() with customized parameter settings for optimal contrast enhancement.

Detailed Documentation

This is my MATLAB-based image processing program implementing an adaptive histogram equalization method specifically designed to enhance image details. The algorithm effectively combines the benefits of detail-preserving adaptive histograms and conventional histogram equalization techniques. The implementation utilizes MATLAB's image processing capabilities, featuring customizable parameters for tile size, contrast limit, and distribution type to optimize local contrast enhancement while preserving important image features. The program includes detailed documentation of the underlying algorithm principles, demonstrating how it partitions images into contextual regions and applies localized histogram transformations. I welcome valuable feedback and suggestions to further improve this implementation.

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