Mercurial > hg > smallbox

comparison examples/Image Denoising/SMALL_ImgDenoise_DL_test_Training_size.m @ 128:8e660fd14774 ivand_dev

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Feature 186
author Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk>
date Mon, 13 Jun 2011 14:55:45 +0100
parents dab78a3598b6
children f42aa8bcb82f
comparison
equal deleted inserted replaced
126:db5a7fe1a404 128:8e660fd14774
1 %% DICTIONARY LEARNING FOR IMAGE DENOISING 1 %% Dictionary Learning for Image Denoising - KSVD vs SPAMS Training size
2 % 2 %% test
3 3 %
4 % *WARNING!* You should have SPAMS in your search path in order for this
5 % script to work.Due to licensing issues SPAMS can not be automatically
6 % provided in SMALLbox (http://www.di.ens.fr/willow/SPAMS/downloads.html).
7 %
4 % This file contains an example of how SMALLbox can be used to test different 8 % This file contains an example of how SMALLbox can be used to test different
5 % dictionary learning techniques in Image Denoising problem. 9 % dictionary learning techniques in Image Denoising problem.
6 % It calls generateImageDenoiseProblem that will let you to choose image, 10 % It calls generateImageDenoiseProblem that will let you to choose image,
7 % add noise and use noisy image to generate training set for dictionary 11 % add noise and use noisy image to generate training set for dictionary
8 % learning. 12 % learning.