comparison util/SMALL_ImgDeNoiseResult.m @ 126:db5a7fe1a404 ivand_dev

Merge from branch "sup_158_IMG_Processing_toolbox_"

-function SMALL_ImgDeNoiseResult(SMALL)
+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.
-%   
-%   Function gets as input SMALL structure and plots  Image Denoise
-%   results: Original Image, Noisy Image and for learned dictionaries and 
-%   denoised images 
+%%
 
 
 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;

     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,SMALL.Problem.blocksize,...
+    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');