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diff examples/Image Denoising/SMALL_ImgDenoise_DL_test_KSVDvsRLSDLA.m @ 65:55faa9b5d1ac

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author idamnjanovic
date Wed, 16 Mar 2011 13:41:02 +0000
parents 623fcf3a69b1
children 62f20b91d870
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line diff
--- a/examples/Image Denoising/SMALL_ImgDenoise_DL_test_KSVDvsRLSDLA.m	Tue Mar 15 15:30:54 2011 +0000
+++ b/examples/Image Denoising/SMALL_ImgDenoise_DL_test_KSVDvsRLSDLA.m	Wed Mar 16 13:41:02 2011 +0000
@@ -42,7 +42,7 @@
 % Problem. As an input we set the number of training patches.
 for noise_ind=1:1
 for im_num=4:4
-SMALL.Problem = generateImageDenoiseProblem(test_image(im_num).i, 40000, '',512, noise_level(noise_ind));
+SMALL.Problem = generateImageDenoiseProblem(test_image(im_num).i, 40000, '',256, noise_level(noise_ind));
 SMALL.Problem.name=im_num;
 
 results(noise_ind,im_num).noisy_psnr=SMALL.Problem.noisy_psnr;