Performance Evaluation of Different Fusion Methods for Multi-focus Image Fusion

To objectively and quantitatively evaluate the performance of various fusion methods in multi-focus image fusion, this study analyzes images based on their statistical characteristics. Without reference standard images, four key parameters are selected for comprehensive assessment: average gradient (sharpness), spatial frequency, information entropy, and standard deviation, which collectively measure fusion method performance and can be implemented through computational algorithms.