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receivedpsnr.m
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% CalcPSNR returns the PSNR between the original image and its approximation
%
% Calculates the Peak Signal to Noise Ratio (PSNR) between 2 matrices containing
% pixel intensity values.
%
% Usage: psnr = CalcPSNR( mImage1, mImage2 );
%
% Inputs:
% mImage1 matrix of pixel intensity values representing the original image
% mImage2 matrix of pixel intensity values representing the approximated image
% maxIntensity maximum allowed pixel intensity, defualt is 256 (8 bit image)
%
% Outputs:
% psnr the PSNR resulting from the approximation
% See http://www.ncrg.aston.ac.uk/Projects/HNLApprox/
% http://www.nonlinear-approx.info/
vue=1; %breakdancers
%vue=3; %ballet
%vue=40; %champagne
m=16;
mm=5;
k=0;
p=zeros(1,mm);
for nn=21:10:51
k=k+1;
for n=1:m
%imageFile = ['c' num2str(n) 'v' num2str(vue) '.png'];
mImag1 = double( imread('01_compare.png') );
[h w z]=size(mImag1);
for i = 1:h
for j = 1:w
mImage1(i,j)=mImag1(i,j,1);
end
end
% imageFile = ['c' num2str(n) 'v' num2str(vue) '_Q' num2str(nn) '_watermarked.png'];
mImag2 = double( imread('01_watermarked.png') );
[h w z]=size(mImag2);
for i = 1:h
for j = 1:w
mImage2(i,j)=mImag2(i,j,1);
end
end
maxIntensity = 255;
for i = 1:h
for j = 1:w
mError(i,j) = mImage1(i,j) - mImage2(i,j);
end
end
[ y, x ] = size(mError);
mse = sum( mError(:).^2 )/( y*x );
psnr = 20*log10(maxIntensity/sqrt(mse));
p(k)=p(k)+psnr;
end
end
disp(['PSNR : [' num2str(p(1)/m) ', ' num2str(p(2)/m) ', ' num2str(p(3)/m) ', ' num2str(p(4)/m) ', ' num2str(p(5)/m) ' ]']);
disp(' ');
p46=0;
for n=1:m
%imageFile = ['c' num2str(n) 'v' num2str(vue) '.bmp'];
mImag1 = double( imread('01_compare.png') );
[h w z]=size(mImag1);
for i = 1:h
for j = 1:w
mImage1(i,j)=mImag1(i,j,1);
end
end
% imageFile = ['c' num2str(n) 'v' num2str(vue) '_Q46_HEVC.bmp'];
mImag2 = double( imread('01_watermarked.png') );
[h w z]=size(mImag2);
for i = 1:h
for j = 1:w
mImage2(i,j)=mImag2(i,j,1);
end
end
maxIntensity = 255;
for i = 1:h
for j = 1:w
mError(i,j) = mImage1(i,j) - mImage2(i,j);
end
end
[ y, x ] = size(mError);
mse = sum( mError(:).^2 )/( y*x );
psnr = 20*log10(maxIntensity/sqrt(mse));
p46=p46+psnr;
end
disp( p46/m );
p36=0;
for n=1:m
% imageFile = ['c' num2str(n) 'v' num2str(vue) '.bmp'];
mImag1 = double( imread('01_compare.png') );
[h w z]=size(mImag1);
for i = 1:h
for j = 1:w
mImage1(i,j)=mImag1(i,j,1);
end
end
imageFile = ['01_watermarked.png'];
mImag2 = double( imread(imageFile) );
[h w z]=size(mImag2);
for i = 1:h
for j = 1:w
mImage2(i,j)=mImag2(i,j,1);
end
end
maxIntensity = 255;
for i = 1:h
for j = 1:w
mError(i,j) = mImage1(i,j) - mImage2(i,j);
end
end
[ y, x ] = size(mError);
mse = sum( mError(:).^2 )/( y*x );
psnr = 20*log10(maxIntensity/sqrt(mse));
p36=p36+psnr;
end
disp( p36/m );
%}
%{
p11=0;
for n=1:m
imageFile = ['c' num2str(n) 'v' num2str(vue) '.bmp'];
mImag1 = double( imread(imageFile) );
[h w z]=size(mImag1);
for i = 1:h
for j = 1:w
mImage1(i,j)=mImag1(i,j,1);
end
end
imageFile = ['c' num2str(n) 'v' num2str(vue) '_Q01_HEVC.bmp'];
mImag2 = double( imread(imageFile) );
[h w z]=size(mImag2);
for i = 1:h
for j = 1:w
mImage2(i,j)=mImag2(i,j,1);
end
end
maxIntensity = 255;
for i = 1:h
for j = 1:w
mError(i,j) = mImage1(i,j) - mImage2(i,j);
end
end
[ y, x ] = size(mError);
mse = sum( mError(:).^2 )/( y*x );
psnr = 20*log10(maxIntensity/sqrt(mse));
p11=p11+psnr;
end
disp( p11/m );
p5=0;
for n=1:m
imageFile = ['c' num2str(n) 'v' num2str(vue) '.bmp'];
mImag1 = double( imread(imageFile) );
[h w z]=size(mImag1);
for i = 1:h
for j = 1:w
mImage1(i,j)=mImag1(i,j,1);
end
end
imageFile = ['c' num2str(n) 'v' num2str(vue) '_Q5_HEVC.bmp'];
mImag2 = double( imread(imageFile) );
[h w z]=size(mImag2);
for i = 1:h
for j = 1:w
mImage2(i,j)=mImag2(i,j,1);
end
end
maxIntensity = 255;
for i = 1:h
for j = 1:w
mError(i,j) = mImage1(i,j) - mImage2(i,j);
end
end
[ y, x ] = size(mError);
mse = sum( mError(:).^2 )/( y*x );
psnr = 20*log10(maxIntensity/sqrt(mse));
p5=p5+psnr;
end
disp( p5/m );
%}