Peak Signal-to-Noise Ratio Calculation for Input Images

Function Purpose: This function performs PSNR calculation for input images. To achieve this functionality, the implementation typically involves several key steps: first identifying the maximum signal intensity (peak signal) in the image data, then computing the mean squared error (MSE) between the original and reference/noisy images to quantify noise levels. The PSNR value is derived using the logarithmic formula PSNR = 20·log10(MAX_I) - 10·log10(MSE), where MAX_I represents the maximum possible pixel value (255 for 8-bit images). This quantitative assessment helps evaluate image quality by measuring the strength of peak signals relative to noise contamination. The function finds applications across various image processing and analysis domains, including medical imaging analysis, non-destructive testing, and image enhancement techniques, providing a standardized metric for comparing image fidelity and processing algorithm performance.