Code covered by the BSD License  

Highlights from
GUI for denoising video signals with Kalman filter

image thumbnail

GUI for denoising video signals with Kalman filter

by

 

filter grayscale video signals(avi || Webcam) with 1st Order Estimation & Kalman filter .

y=PSNR(noisyImage,restoredImage)
function y=PSNR(noisyImage,restoredImage)
 
% Compute the PSNR of two gray scale image
% Traditional progarmming using loops 
% Class input : [0,1] 
% july, 25 , 2012
% KHMOU Youssef
 
N=size(noisyImage);
if length(N)> 2
    error('Input must be grayscale image');
end
if size(noisyImage)~=size(restoredImage)
    error('The images must have the same size');
end
 
%if ~isa(noisyImage,'double') 
%   noisyImage=double(noisyImage)./255.00;
%end
%if  ~isa(restoredImage,'double')
%    restoredImage=double(restoredImage)./255.00;
%end
 
% begin
 
d1=max(noisyImage(:));
d2=max(restoredImage(:));
d=max(d1,d2);
MSE=0;
for i=1:N(1)
    for j=1:N(2)
        if isnan(noisyImage(i,j)) || isinf(restoredImage(i,j))...
                || isnan(restoredImage(i,j)) || isinf(noisyImage(i,j))
            continue;
        end
        MSE=MSE+((abs(noisyImage(i,j)-restoredImage(i,j))).^2);
    end
end
 
MSE=MSE./(N(1)*N(2));
 
y=10*log10((d.^2) /MSE);

Contact us