comparison util/SMALL_ImgDeNoiseResult.m @ 34:9ff69e8e049f backup 14032011

(none)

 subplot(2,m,m+1); imshow(imnoise/maxval);
 title(sprintf('Noisy image, PSNR = %.2fdB', 20*log10(maxval * sqrt(numel(im)) / norm(im(:)-imnoise(:))) ));
 
 for i=2:m
     params=SMALL.solver(i-1).param;
-    subplot(2, m, i); imshow(SMALL.solver(i-1).reconstructed.Image/maxval);
+    subplot(2, m, i); imagesc(SMALL.solver(i-1).reconstructed.Image/maxval);colormap(gray);
     title(sprintf('%s Denoised image, PSNR: %.2f dB in %.2f s',...
         SMALL.DL(i-1).name, SMALL.solver(i-1).reconstructed.psnr, SMALL.solver(i-1).time ));
     if strcmpi(SMALL.DL(i-1).name,'ksvds')
         D = kron(SMALL.Problem.basedict{2},SMALL.Problem.basedict{1})*SMALL.DL(i-1).D;
     else
         D = SMALL.DL(i-1).D;
     end
     dictimg = showdict(D,params.blocksize,...
         round(sqrt(size(D,2))),round(sqrt(size(D,2))),'lines','highcontrast');
     
-    subplot(2,m,m+i);imshow(imresize(dictimg,2,'nearest'));
+    subplot(2,m,m+i);imagesc(dictimg);colormap(gray);
     title(sprintf('%s dictionary in %.2f s',...
         SMALL.DL(i-1).name, SMALL.DL(i-1).time));
     
 end