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-rw-r--r--Wrappers/Matlab/demos/demoMatlab_denoise.m9
1 files changed, 4 insertions, 5 deletions
diff --git a/Wrappers/Matlab/demos/demoMatlab_denoise.m b/Wrappers/Matlab/demos/demoMatlab_denoise.m
index 2cbdb56..54b8bac 100644
--- a/Wrappers/Matlab/demos/demoMatlab_denoise.m
+++ b/Wrappers/Matlab/demos/demoMatlab_denoise.m
@@ -136,21 +136,20 @@ figure; imshow(u_diff4, [0 1]); title('Diffusion 4thO denoised image (CPU)');
% figure; imshow(u_diff4_g, [0 1]); title('Diffusion 4thO denoised image (GPU)');
%%
fprintf('Weights pre-calculation for Non-local TV (takes time on CPU) \n');
-SearchingWindow = 9;
-PatchWindow = 3;
+SearchingWindow = 7;
+PatchWindow = 2;
NeighboursNumber = 15; % the number of neibours to include
-h = 0.25; % edge related parameter for NLM
+h = 0.23; % edge related parameter for NLM
[H_i, H_j, Weights] = PatchSelect(single(u0), SearchingWindow, PatchWindow, NeighboursNumber, h);
%%
fprintf('Denoise using Non-local Total Variation (CPU) \n');
-iter_nltv = 3; % number of nltv iterations
+iter_nltv = 2; % number of nltv iterations
lambda_nltv = 0.085; % regularisation parameter for nltv
tic; u_nltv = Nonlocal_TV(single(u0), H_i, H_j, 0, Weights, lambda_nltv, iter_nltv); toc;
rmse_nltv = (RMSE(u_nltv(:),Im(:)));
fprintf('%s %f \n', 'RMSE error for Non-local Total Variation is:', rmse_nltv);
figure; imshow(u_nltv, [0 1]); title('Non-local Total Variation denoised image (CPU)');
%%
-
%>>>>>>>>>>>>>> MULTI-CHANNEL priors <<<<<<<<<<<<<<< %
fprintf('Denoise using the FGP-dTV model (CPU) \n');