2 files changed, 5 insertions, 5 deletions
diff --git a/Wrappers/Matlab/demos/demoMatlab_3Ddenoise.m b/Wrappers/Matlab/demos/demoMatlab_3Ddenoise.m
index ccd47f1..33dfb95 100644
--- a/Wrappers/Matlab/demos/demoMatlab_3Ddenoise.m
+++ b/Wrappers/Matlab/demos/demoMatlab_3Ddenoise.m
@@ -78,7 +78,7 @@ fprintf('Denoise using Fourth-order anisotropic diffusion model (CPU) \n');
 iter_diff = 300; % number of diffusion iterations
 lambda_regDiff = 3.5; % regularisation for the diffusivity 
 sigmaPar = 0.02; % edge-preserving parameter
-tau_param = 0.0025; % time-marching constant 
+tau_param = 0.0015; % time-marching constant 
 tic; u_diff4 = Diffusion_4thO(single(vol3D), lambda_regDiff, sigmaPar, iter_diff, tau_param); toc; 
 figure; imshow(u_diff4(:,:,15), [0 1]); title('Diffusion 4thO denoised volume (CPU)');
 %%
@@ -86,7 +86,7 @@ figure; imshow(u_diff4(:,:,15), [0 1]); title('Diffusion 4thO denoised volume (C
 % iter_diff = 300; % number of diffusion iterations
 % lambda_regDiff = 3.5; % regularisation for the diffusivity 
 % sigmaPar = 0.02; % edge-preserving parameter
-% tau_param = 0.0025; % time-marching constant 
+% tau_param = 0.0015; % time-marching constant 
 % tic; u_diff4_g = Diffusion_4thO_GPU(single(vol3D), lambda_regDiff, sigmaPar, iter_diff, tau_param); toc; 
 % figure; imshow(u_diff4_g(:,:,15), [0 1]); title('Diffusion 4thO denoised volume (GPU)');
 %%
@@ -123,4 +123,4 @@ epsil_tol =  1.0e-05; % tolerance
 eta =  0.2; % Reference image gradient smoothing constant
 tic; u_fgp_dtv_g = FGP_dTV_GPU(single(vol3D), single(vol3D_ref), lambda_reg, iter_fgp, epsil_tol, eta); toc; 
 figure; imshow(u_fgp_dtv_g(:,:,15), [0 1]); title('FGP-dTV denoised volume (GPU)');
-%%
-\ No newline at end of file
+%%
diff --git a/Wrappers/Matlab/demos/demoMatlab_denoise.m b/Wrappers/Matlab/demos/demoMatlab_denoise.m
index 30ad79d..df47bdc 100644
--- a/Wrappers/Matlab/demos/demoMatlab_denoise.m
+++ b/Wrappers/Matlab/demos/demoMatlab_denoise.m
@@ -71,7 +71,7 @@ fprintf('Denoise using Fourth-order anisotropic diffusion model (CPU) \n');
 iter_diff = 800; % number of diffusion iterations
 lambda_regDiff = 3.5; % regularisation for the diffusivity 
 sigmaPar = 0.02; % edge-preserving parameter
-tau_param = 0.005; % time-marching constant 
+tau_param = 0.0015; % time-marching constant 
 tic; u_diff4 = Diffusion_4thO(single(u0), lambda_regDiff, sigmaPar, iter_diff, tau_param); toc; 
 figure; imshow(u_diff4, [0 1]); title('Diffusion 4thO denoised image (CPU)');
 %%
@@ -79,7 +79,7 @@ figure; imshow(u_diff4, [0 1]); title('Diffusion 4thO denoised image (CPU)');
 % iter_diff = 800; % number of diffusion iterations
 % lambda_regDiff = 3.5; % regularisation for the diffusivity 
 % sigmaPar = 0.02; % edge-preserving parameter
-% tau_param = 0.005; % time-marching constant 
+% tau_param = 0.0015; % time-marching constant 
 % 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)');
 %%