CLAHE Algorithm Implementation in MATLAB

I obtained a MATLAB implementation of the CLAHE algorithm from an online source. During initial execution attempts, I encountered several runtime issues. After thorough code inspection and debugging, I made necessary modifications to ensure seamless operation. CLAHE (Contrast Limited Adaptive Histogram Equalization) is an advanced image enhancement algorithm that improves image contrast and clarity through localized histogram processing. The code modifications included optimizing the histogram equalization algorithm for better computational efficiency, implementing boundary condition handling for tile-based processing, and adding preprocessing modules for image normalization and postprocessing functions for enhanced output quality. The algorithm employs key MATLAB functions such as adapthisteq for adaptive histogram equalization, blockproc for tile processing, and custom functions for contrast limiting. These enhancements facilitate more effective application of the CLAHE algorithm in digital image processing workflows, particularly for medical imaging and computer vision applications.