Mercurial > hg > smallbox
comparison examples/Image Denoising/SMALL_ImgDenoise_DL_test_SPAMS_lambda.m @ 128:8e660fd14774 ivand_dev
Feature 186
author | Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Mon, 13 Jun 2011 14:55:45 +0100 |
parents | dab78a3598b6 |
children | f42aa8bcb82f |
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126:db5a7fe1a404 | 128:8e660fd14774 |
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1 %% DICTIONARY LEARNING FOR IMAGE DENOISING | 1 %% Dictionary Learning for Image Denoising - SPAMS parameter test |
2 % | 2 % |
3 % | 3 % *WARNING!* You should have SPAMS in your search path in order for this |
4 % script to work.Due to licensing issues SPAMS can not be automatically | |
5 % provided in SMALLbox (http://www.di.ens.fr/willow/SPAMS/downloads.html). | |
6 % | |
4 % This file contains an example of how SMALLbox can be used to test different | 7 % This file contains an example of how SMALLbox can be used to test different |
5 % dictionary learning techniques in Image Denoising problem. | 8 % dictionary learning techniques in Image Denoising problem. |
6 % This example can be used to test SPAMS for different values of | 9 % This example can be used to test SPAMS for different values of |
7 % parameter lambda. In no way it represents extensive testing of image | 10 % parameter lambda. In no way it represents extensive testing of image |
8 % denoising. It should only give an idea how SMALL structure can be used | 11 % denoising. It should only give an idea how SMALL structure can be used |