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| author | Daniil Kazantsev <dkazanc3@googlemail.com> | 2018-12-02 19:10:01 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-12-02 19:10:01 +0000 |
| commit | 8b8dfc68fa6b70ec7eefcdfb928fb383196bec97 (patch) | |
| tree | 2e0bbebd15b90ec493e381d07e89613aa2df55f0 /Wrappers/Matlab/demos | |
| parent | a106da50c7f428db2e4115fe1bdc0c156a933a21 (diff) | |
| parent | b1651143a6d3c27ba4f6aea3dd0fb799799b2eca (diff) | |
| download | regularization-8b8dfc68fa6b70ec7eefcdfb928fb383196bec97.tar.gz regularization-8b8dfc68fa6b70ec7eefcdfb928fb383196bec97.tar.bz2 regularization-8b8dfc68fa6b70ec7eefcdfb928fb383196bec97.tar.xz regularization-8b8dfc68fa6b70ec7eefcdfb928fb383196bec97.zip | |
Merge pull request #73 from vais-ral/NLTV
Nonlocal TV method added (CPU version)
Diffstat (limited to 'Wrappers/Matlab/demos')
| -rw-r--r-- | Wrappers/Matlab/demos/demoMatlab_denoise.m | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/Wrappers/Matlab/demos/demoMatlab_denoise.m b/Wrappers/Matlab/demos/demoMatlab_denoise.m index d11bc63..54b8bac 100644 --- a/Wrappers/Matlab/demos/demoMatlab_denoise.m +++ b/Wrappers/Matlab/demos/demoMatlab_denoise.m @@ -135,7 +135,21 @@ figure; imshow(u_diff4, [0 1]); title('Diffusion 4thO denoised image (CPU)'); % tic; u_diff4_g = Diffusion_4thO_GPU(single(u0), lambda_regDiff, sigmaPar, iter_diff, tau_param); toc; % 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 = 7; +PatchWindow = 2; +NeighboursNumber = 15; % the number of neibours to include +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 = 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'); |