comparison util/SMALL_ImgDeNoiseResult.m.orig @ 158:855aa3288394 danieleb

no message

+function SMALL_ImgDeNoiseResult(SMALL)   
+%%  Represents the results of Dictionary Learning for Image denoising
+%
+%   Function gets as input SMALL structure and plots  Image Denoise
+%   results: Original Image, Noisy Image and for learned dictionaries and 
+%   denoised images 
+%
+
+%   Centre for Digital Music, Queen Mary, University of London.
+%   This file copyright 2010 Ivan Damnjanovic.
+%
+%   This program is free software; you can redistribute it and/or
+%   modify it under the terms of the GNU General Public License as
+%   published by the Free Software Foundation; either version 2 of the
+%   License, or (at your option) any later version.  See the file
+%   COPYING included with this distribution for more information.
+%%
+
+
+figure('Name', sprintf('Image %s (training set size- %d, sigma - %d)',SMALL.Problem.name, SMALL.Problem.n, SMALL.Problem.sigma));
+
+m=size(SMALL.solver,2)+1;
+maxval=SMALL.Problem.maxval;
+im=SMALL.Problem.Original;
+imnoise=SMALL.Problem.Noisy;
+
+subplot(2, m, 1); imagesc(im/maxval);colormap(gray);axis off; axis image;        % Set aspect ratio to obtain square pixels
+title('Original image');
+
+subplot(2,m,m+1); imagesc(imnoise/maxval);axis off; axis image; 
+title(sprintf('Noisy image, PSNR = %.2fdB', SMALL.Problem.noisy_psnr ));
+
+for i=2:m
+    
+    subplot(2, m, i); imagesc(SMALL.solver(i-1).reconstructed.Image/maxval);axis off; axis image; 
+    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 ),'Interpreter','none');
+    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 = SMALL_showdict(D,SMALL.Problem.blocksize,...
+        round(sqrt(size(D,2))),round(sqrt(size(D,2))),'lines','highcontrast');
+    
+    subplot(2,m,m+i);imagesc(dictimg);axis off; axis image; 
+    title(sprintf('%s dictionary in %.2f s',...
+        SMALL.DL(i-1).name, SMALL.DL(i-1).time),'Interpreter','none');
+    
+end