MATLAB Source Code for Histogram Equalization

The following is my MATLAB source code implementation for image histogram equalization. This algorithm serves as an image contrast enhancement method that redistributes pixel values to create a more uniform histogram distribution. Histogram equalization effectively improves image detail visibility and enhances color vividness by spreading out the most frequent intensity values. The implementation involves several key steps: first calculating the image histogram, then computing the cumulative distribution function (CDF), and finally mapping the original pixel values to new values based on the CDF. This process utilizes MATLAB's built-in functions for efficient histogram calculation and pixel manipulation. Using this source code, you can easily perform histogram equalization on images to enhance visual quality and improve overall image perception. The code includes proper handling of different image formats and implements the standard histogram equalization algorithm with optimized computational efficiency.