Standard Deviation and Information Entropy for Image Fusion Quality Assessment

In the provided text, we can incorporate additional technical details to expand the content. Below are specific descriptions of MATLAB code for standard deviation and information entropy in image fusion quality assessment: First, we need to define a function to compute the standard deviation metric for image fusion quality. This function will accept a fused image as input and return its standard deviation value. By calculating the standard deviation of pixel values across the image, we can evaluate the clarity and consistency of the fused image. The implementation typically involves using MATLAB's std2() function for 2D matrices or implementing a custom calculation using mean and variance operations on the image matrix. Next, we should develop a function to calculate the information entropy of the image. Information entropy serves as an indicator to measure the information content within an image. The algorithm involves computing the probability distribution of each pixel value occurrence, then calculating the weighted average of logarithmic values to derive the image's entropy value. This metric helps assess the complexity and information richness of the image. The MATLAB implementation would include histogram calculation using imhist(), probability computation, and entropy calculation using -sum(p.*log2(p)) where p represents the probability distribution. Finally, we can integrate these functions to achieve comprehensive evaluation of image fusion quality through both standard deviation and information entropy metrics. By processing input images through these functions, we obtain a combined score for fusion quality assessment, which effectively measures the performance of image fusion algorithms. The complete implementation would include image preprocessing, separate function calls for each metric, and a weighted combination method for final quality scoring. We hope this enhanced content meets your requirements. Please feel free to request any additional technical details or implementation specifics as needed.