comparison Problems/ImgDenoise_reconstruct.m @ 128:8e660fd14774 ivand_dev

Feature 186

 function reconstructed=ImgDenoise_reconstruct(y, Problem, SparseDict)
-%%%  Pierre Villars Example - reconstruction function
+%%  Image Denoising Problem reconstruction function
+%   
+%   This reconstruction function is using sparse representation y 
+%   in dictionary Problem.A to reconstruct the patches of the denoised
+%   image.
+
 %
 %   Centre for Digital Music, Queen Mary, University of London.
 %   This file copyright 2009 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.
-%   
-%   This example is based on the experiment suggested by Professor Pierre
-%   Vandergheynst on the SMALL meeting in Villars.
+%%
 
-%   using sparse representation y in dictionary Problem.A reconstruct the
-%   patches from the target image
 
 % stepsize %
 if (isfield(Problem,'stepsize'))
   stepsize = Problem.stepsize;
   if (numel(stepsize)==1)