Histogram Equalization and Histogram Matching Programs

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Resource Overview

Implementation based on Gonzalez's Digital Image Processing methods using MATLAB for histogram equalization and histogram matching procedures, including the original image for comparison

Detailed Documentation

Following the methods described in Gonzalez's Digital Image Processing, MATLAB programs can be developed for histogram equalization and histogram matching. These programs utilize key image processing functions such as imhist for histogram calculation, histeq for histogram equalization, and custom implementation for histogram matching using cumulative distribution functions. The algorithms work by transforming the image's intensity values to create a more uniform distribution, thereby enhancing image contrast and brightness to produce clearer and more distinct images. The implementation includes generating cumulative histograms and mapping functions to match target distributions. Additionally, the programs provide copies of the original images to facilitate comparative analysis and performance evaluation of the enhancement techniques.

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