daniele@158: function SMALL_ImgDeNoiseResult(SMALL)   
daniele@158: %%  Represents the results of Dictionary Learning for Image denoising
daniele@158: %
daniele@158: %   Function gets as input SMALL structure and plots  Image Denoise
daniele@158: %   results: Original Image, Noisy Image and for learned dictionaries and 
daniele@158: %   denoised images 
daniele@158: %
daniele@158: 
daniele@158: %   Centre for Digital Music, Queen Mary, University of London.
daniele@158: %   This file copyright 2010 Ivan Damnjanovic.
daniele@158: %
daniele@158: %   This program is free software; you can redistribute it and/or
daniele@158: %   modify it under the terms of the GNU General Public License as
daniele@158: %   published by the Free Software Foundation; either version 2 of the
daniele@158: %   License, or (at your option) any later version.  See the file
daniele@158: %   COPYING included with this distribution for more information.
daniele@158: %%
daniele@158: 
daniele@158: 
daniele@158: figure('Name', sprintf('Image %s (training set size- %d, sigma - %d)',SMALL.Problem.name, SMALL.Problem.n, SMALL.Problem.sigma));
daniele@158: 
daniele@158: m=size(SMALL.solver,2)+1;
daniele@158: maxval=SMALL.Problem.maxval;
daniele@158: im=SMALL.Problem.Original;
daniele@158: imnoise=SMALL.Problem.Noisy;
daniele@158: 
daniele@158: subplot(2, m, 1); imagesc(im/maxval);colormap(gray);axis off; axis image;        % Set aspect ratio to obtain square pixels
daniele@158: title('Original image');
daniele@158: 
daniele@158: subplot(2,m,m+1); imagesc(imnoise/maxval);axis off; axis image; 
daniele@158: title(sprintf('Noisy image, PSNR = %.2fdB', SMALL.Problem.noisy_psnr ));
daniele@158: 
daniele@158: for i=2:m
daniele@158:     
daniele@158:     subplot(2, m, i); imagesc(SMALL.solver(i-1).reconstructed.Image/maxval);axis off; axis image; 
daniele@158:     title(sprintf('%s Denoised image, PSNR: %.2f dB in %.2f s',...
daniele@158:         SMALL.DL(i-1).name, SMALL.solver(i-1).reconstructed.psnr, SMALL.solver(i-1).time ),'Interpreter','none');
daniele@158:     if strcmpi(SMALL.DL(i-1).name,'ksvds')
daniele@158:         D = kron(SMALL.Problem.basedict{2},SMALL.Problem.basedict{1})*SMALL.DL(i-1).D;
daniele@158:     else
daniele@158:         D = SMALL.DL(i-1).D;
daniele@158:     end
daniele@158:     dictimg = SMALL_showdict(D,SMALL.Problem.blocksize,...
daniele@158:         round(sqrt(size(D,2))),round(sqrt(size(D,2))),'lines','highcontrast');
daniele@158:     
daniele@158:     subplot(2,m,m+i);imagesc(dictimg);axis off; axis image; 
daniele@158:     title(sprintf('%s dictionary in %.2f s',...
daniele@158:         SMALL.DL(i-1).name, SMALL.DL(i-1).time),'Interpreter','none');
daniele@158:     
daniele@158: end