Grayscale Histogram Matching

MATLAB 1K 292 views 0 downloads 1 credits
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Resource Overview

MATLAB source code for grayscale histogram matching, a classic implementation with detailed algorithm explanations

Detailed Documentation

This is a classic MATLAB source code example for grayscale histogram matching, a fundamental technique in image processing. The algorithm works by transforming the histogram of a source image to match the histogram of a target image, enabling color style transfer or image enhancement. The implementation typically involves calculating cumulative distribution functions (CDFs) for both images, followed by histogram specification using mapping functions. Key MATLAB functions employed include imhist for histogram calculation, histeq for histogram equalization, and custom mapping algorithms for precise histogram matching. This code demonstrates the core principles of histogram transformation, including probability density function estimation and inverse transformation techniques, making it an excellent resource for understanding digital image processing fundamentals.

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