Algorithm Performance Evaluation for Image Fusion Functions
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Resource Overview
This MATLAB function evaluates the performance of image fusion algorithms by analyzing two original input images and their fused output, generating quantitative metrics to assess fusion quality and effectiveness.
Detailed Documentation
This MATLAB code is designed to evaluate the performance of image fusion algorithms. The function takes two original images and their fused result as input parameters, then computes various performance metrics to quantify the algorithm's effectiveness. The implementation includes calculation of key indicators such as mutual information, structural similarity index, and visual information fidelity to provide comprehensive quality assessment. This tool helps researchers understand how different fusion algorithms perform under varying input conditions, offering valuable insights for algorithm optimization and comparative analysis. The code structure supports both grayscale and color image processing, with modular functions for individual metric calculations and a main wrapper function that generates consolidated performance reports.
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