diff examples/Image Denoising/SMALL_ImgDenoise_DL_test_TwoStep_KSVD_MOD_OLS_Mailhe.m @ 161:f42aa8bcb82f ivand_dev

debug and clean the SMALLbox Problems code
author Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk>
date Wed, 31 Aug 2011 12:02:19 +0100
parents af307f247ac7
children 9c418bea7f6a
line wrap: on
line diff
--- a/examples/Image Denoising/SMALL_ImgDenoise_DL_test_TwoStep_KSVD_MOD_OLS_Mailhe.m	Mon Aug 22 11:46:35 2011 +0100
+++ b/examples/Image Denoising/SMALL_ImgDenoise_DL_test_TwoStep_KSVD_MOD_OLS_Mailhe.m	Wed Aug 31 12:02:19 2011 +0100
@@ -111,7 +111,7 @@
 %   solver structures)
 
 SMALL.Problem.A = SMALL.DL(1).D;
-SMALL.Problem.reconstruct = @(x) ImgDenoise_reconstruct(x, SMALL.Problem);
+SMALL.Problem.reconstruct = @(x) ImageDenoise_reconstruct(x, SMALL.Problem);
 
 %   Denoising the image - find the sparse solution in the learned
 %   dictionary for all patches in the image and the end it uses
@@ -170,7 +170,7 @@
 %   solver structures)
 
 SMALL.Problem.A = SMALL.DL(2).D;
-SMALL.Problem.reconstruct = @(x) ImgDenoise_reconstruct(x, SMALL.Problem);
+SMALL.Problem.reconstruct = @(x) ImageDenoise_reconstruct(x, SMALL.Problem);
 
 %   Denoising the image - find the sparse solution in the learned
 %   dictionary for all patches in the image and the end it uses
@@ -230,7 +230,7 @@
 %   solver structures)
 
 SMALL.Problem.A = SMALL.DL(3).D;
-SMALL.Problem.reconstruct = @(x) ImgDenoise_reconstruct(x, SMALL.Problem);
+SMALL.Problem.reconstruct = @(x) ImageDenoise_reconstruct(x, SMALL.Problem);
 
 %   Denoising the image - find the sparse solution in the learned
 %   dictionary for all patches in the image and the end it uses
@@ -290,7 +290,7 @@
 %   solver structures)
 
 SMALL.Problem.A = SMALL.DL(4).D;
-SMALL.Problem.reconstruct = @(x) ImgDenoise_reconstruct(x, SMALL.Problem);
+SMALL.Problem.reconstruct = @(x) ImageDenoise_reconstruct(x, SMALL.Problem);
 
 %   Denoising the image - find the sparse solution in the learned
 %   dictionary for all patches in the image and the end it uses