Matlab codes to find MSE of many images against one
3 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Abdulmu'min Musa
il 25 Lug 2019
Modificato: KALYAN ACHARJYA
il 12 Nov 2019
I know how to get the MSE(Mean Square Error) of one image against one image, but how can i do it to get the MSE of many images against one image which serve as the template?
The Matlab code below is the i use to get the MSE of one image against one image, how can i adjust it to solve my problem?
InputImage=imread('7-6.jpg');
ReconstructedImage=imread('7-6a.jpg');
n=size(InputImage);
M=n(1);
N=n(2);
MSE = sum(sum((InputImage-ReconstructedImage).^2))/(M*N)
PSNR = 10*log10(256*256/MSE)
fprintf('\nMSE: %7.2f ', MSE);
fprintf('\nPSNR: %9.2f dB', PSNR);
0 Commenti
Risposta accettata
KALYAN ACHARJYA
il 25 Lug 2019
Modificato: KALYAN ACHARJYA
il 31 Lug 2019
MSE_data=[];
PSNR_data=[];;
Images=dir('C:\Complete_path\Input_folder_name\*.png');
%................Input Images, Note on .format...^^
ReconstructedImage=imread('7-6a.jpg');
for i=1:length(Images)
ImgName=strcat('C:\Complete_path\Input_folder_name\',Images(i).name);
InputImage=imread(ImgName);
n=size(InputImage);
M=n(1);
N=n(2);
MSE_data(i)= sum(sum((InputImage-ReconstructedImage).^2))/(M*N);
PSNR_data(i)= 10*log10(256*256/MSE(i));
fprintf('\nMSE: %7.2f ', MSE_data(i));
fprintf('\nPSNR: %9.2f dB', PSNR_data(i));
end
Also, here you are saving MSE and PSNR of all images in arrays, you can acess it later in your code.
14 Commenti
Più risposte (0)
Vedere anche
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!