Computing Image Radiometric Accuracy (Including Mean, Variance, Skewness, and Kurtosis) and Information Content

This document demonstrates how to compute image radiometric accuracy using MATLAB, including statistical metrics such as mean, variance, skewness, and kurtosis. Additionally, we will calculate the image's information content to evaluate the amount of information contained within the image. These computations provide comprehensive insights into image characteristics and quality, which are crucial for image processing and analysis applications. Key implementation aspects include using MATLAB's built-in functions like mean() and var() for basic statistics, while skewness() and kurtosis() functions from the Statistics and Machine Learning Toolbox provide higher-order moment analysis. For information content calculation, the entropy() function computes the Shannon entropy based on the image's histogram distribution. These metrics help researchers better understand and utilize image data for various computer vision and remote sensing applications.