PSNR MSE R RMSE NRMSE MAPE Calculating
Version 1.21 (3.64 KB) by
Abbas Manthiri S
finding PSNR MSE R RMSE NRMSE MAPE
% INPUT
% Refernce M x N
% Test M x N
% Output
% Result-struct
% 1.MSE (Mean Squared Error)
% 2.PSNR (Peak signal-to-noise ratio)
% 3.R Value
% 4.RMSE (Root-mean-square deviation)
% 5.NRMSE (Normalized Root-mean-square deviation)
% 6.MAPE (Mean Absolute Percentage Error)
Cite As
Abbas Manthiri S (2026). PSNR MSE R RMSE NRMSE MAPE Calculating (https://uk.mathworks.com/matlabcentral/fileexchange/60833-psnr-mse-r-rmse-nrmse-mape-calculating), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2014a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Quality >
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