MATLAB Function for Calculating Peak Signal-to-Noise Ratio Between Two Images

This MATLAB function calculates the Peak Signal-to-Noise Ratio between two images. The implementation follows these steps: 1. Read the first image and the second image using MATLAB's imread() function, which supports various image formats including JPEG, PNG, and TIFF. 2. Apply the PSNR calculation formula to each image pair. The algorithm computes the Mean Squared Error (MSE) between the two images first, then derives PSNR using the formula: PSNR = 10*log10(MAX^2/MSE), where MAX represents the maximum possible pixel value (255 for 8-bit images). The implementation handles both grayscale and color images by processing each color channel separately for RGB images. 3. Output the calculated PSNR value through MATLAB's display functions or return it as a function output. The code includes error checking for image size compatibility and data type validation. By using this function, you can efficiently compute the PSNR between two images and utilize these values in image processing and analysis workflows to quantitatively assess image quality degradation, particularly useful in compression evaluation and reconstruction quality assessment. The function returns the PSNR value in decibels (dB), with higher values indicating better image quality preservation.