MATLAB Implementation of Various Entropy Measures in Information Theory

MATLAB implementations for various entropy calculations in information theory, including self-information, mutual information, conditional entropy, joint entropy, redundancy, and other key metrics with practical code examples and algorithmic explanations.

Calculating Mutual Information Between Images

Compute mutual information between images to effectively measure their correlation level, with implementation approaches for entropy calculation and joint probability distribution estimation.