comparison Problems/generateImageDenoiseProblem.m @ 21:0211faef9add

(none)
author idamnjanovic
date Tue, 27 Apr 2010 13:31:44 +0000
parents ec86452113ed
children 2c59257d734c
comparison
equal deleted inserted replaced
20:ce03373b3761 21:0211faef9add
1 function data=generateImageDenoiseProblem(im, trainnum, blocksize, dictsize, sigma, gain, maxval, initdict); 1 function data=generateImageDenoiseProblem(im, trainnum, blocksize, dictsize, sigma, gain, maxval, initdict);
2 %%% Generate Image Denoising Problem 2 %%% Generate Image Denoising Problem
3 % Ivan Damnjanovic 2010
4 % 3 %
4 % Centre for Digital Music, Queen Mary, University of London.
5 % This file copyright 2010 Ivan Damnjanovic.
6 %
7 % This program is free software; you can redistribute it and/or
8 % modify it under the terms of the GNU General Public License as
9 % published by the Free Software Foundation; either version 2 of the
10 % License, or (at your option) any later version. See the file
11 % COPYING included with this distribution for more information.
12 %
5 % generateImageDenoiseProblem is a part of the SMALLbox and generates 13 % generateImageDenoiseProblem is a part of the SMALLbox and generates
6 % a problem that can be used for comparison of Dictionary Learning/Sparse 14 % a problem that can be used for comparison of Dictionary Learning/Sparse
7 % Representation techniques in image denoising scenario. 15 % Representation techniques in image denoising scenario.
8 % The function takes as an input: 16 % The function takes as an input:
9 % - im - image matrix (if not present function promts user for an 17 % - im - image matrix (if not present function promts user for an