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| author | Daniil Kazantsev <dkazanc@hotmail.com> | 2018-12-02 19:01:42 +0000 |
|---|---|---|
| committer | Daniil Kazantsev <dkazanc@hotmail.com> | 2018-12-02 19:01:42 +0000 |
| commit | a48c9e69e941ec4046aca9d5d6ec453b9e9debdc (patch) | |
| tree | f62cbc2b1d51aff9aaff14e1675f932f1922dde8 /Wrappers/Matlab/demos | |
| parent | d252fcf6889855bb276cf6f9bf516e61910c064f (diff) | |
| download | regularization-a48c9e69e941ec4046aca9d5d6ec453b9e9debdc.tar.gz regularization-a48c9e69e941ec4046aca9d5d6ec453b9e9debdc.tar.bz2 regularization-a48c9e69e941ec4046aca9d5d6ec453b9e9debdc.tar.xz regularization-a48c9e69e941ec4046aca9d5d6ec453b9e9debdc.zip | |
cythonised nltv and updated demo, readme, bash run added
Diffstat (limited to 'Wrappers/Matlab/demos')
| -rw-r--r-- | Wrappers/Matlab/demos/demoMatlab_denoise.m | 9 |
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'); |