From 11967285c873e01ad3c0113ec47605780424c870 Mon Sep 17 00:00:00 2001
From: vpustova <vassili.pustovalov@irit.fr>
Date: Fri, 25 Apr 2025 11:25:36 +0000
Subject: [PATCH] Upload New File
---
DRPCA_Net/US_ADM_calc_PSNR.m | 39 ++++++++++++++++++++++++++++++++++++
1 file changed, 39 insertions(+)
create mode 100644 DRPCA_Net/US_ADM_calc_PSNR.m
diff --git a/DRPCA_Net/US_ADM_calc_PSNR.m b/DRPCA_Net/US_ADM_calc_PSNR.m
new file mode 100644
index 0000000..14710c4
--- /dev/null
+++ b/DRPCA_Net/US_ADM_calc_PSNR.m
@@ -0,0 +1,39 @@
+function [Metrics] = US_ADM_calc_PSNR(img1,img2)
+%% US_ADM_calc_PSNR Calculates the Peak Signal-to-Noise Ratio.
+% PSNR = US_ADM_calc_PSNR(img1,img2)
+%
+% img1: reference image
+% img2: output image
+%
+% ----------------------
+% | Code: Renaud Morin |
+% | Email: morin@irit.fr |
+% | Date: July 2011 |
+% ----------------------
+
+
+%% Initialization
+if nargin~=2
+ error('MATLAB:paramAmbiguous','There must be exactly 2 arguments.')
+end
+if size(img1)~=size(img2)
+ error('MATLAB:paramAmbiguous','Inputs must be of same size')
+end
+
+
+%% Process
+d= max(abs([img1(:);img2(:)]));
+MSE=sum( (img1(:)-img2(:)).^2 )/numel(img1);
+MSE1 = MSE;
+PSNR=10*log10(d^2/MSE);
+RMSE = sqrt(MSE);
+MSE = MSE/(sum((img1(:)).^2));
+NRMSE = sqrt(MSE*numel(img1));
+% assignement
+Metrics.MSE=MSE1;
+Metrics.PSNR = PSNR;
+Metrics.RMSE = RMSE;
+Metrics.NRMSE = NRMSE;
+
+
+
--
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