diff options
Diffstat (limited to 'demos/demoMatlab_denoise.m')
| -rw-r--r-- | demos/demoMatlab_denoise.m | 39 |
1 files changed, 17 insertions, 22 deletions
diff --git a/demos/demoMatlab_denoise.m b/demos/demoMatlab_denoise.m index fa81f6d..a22b40a 100644 --- a/demos/demoMatlab_denoise.m +++ b/demos/demoMatlab_denoise.m @@ -2,11 +2,9 @@ clear; close all fsep = '/'; -%Path1 = sprintf(['..' fsep 'src' fsep 'Matlab' fsep 'mex_compile' fsep 'installed'], 1i); -Path1 = ('/home/kjy41806/Documents/SOFT/CCPi-Regularisation-Toolkit/src/Matlab/mex_compile/installed'); +Path1 = sprintf(['..' fsep 'src' fsep 'Matlab' fsep 'mex_compile' fsep 'installed'], 1i); Path2 = sprintf(['data' fsep], 1i); -%Path3 = sprintf(['..' filesep 'src' filesep 'Matlab' filesep 'supp'], 1i); -Path3 = '/home/kjy41806/Documents/SOFT/CCPi-Regularisation-Toolkit/src/Matlab/supp'; +Path3 = sprintf(['..' fsep 'src' fsep 'Matlab' fsep 'supp'], 1i); addpath(Path1); addpath(Path2); addpath(Path3); @@ -14,14 +12,14 @@ addpath(Path3); Im = double(imread('lena_gray_512.tif'))/255; % loading image u0 = Im + .05*randn(size(Im)); u0(u0 < 0) = 0; figure; imshow(u0, [0 1]); title('Noisy image'); - %% fprintf('Denoise using the ROF-TV model (CPU) \n'); -lambda_reg = 0.017; % regularsation parameter for all methods -tau_rof = 0.0025; % time-marching constant -iter_rof = 1200; % number of ROF iterations -tic; u_rof = ROF_TV(single(u0), lambda_reg, iter_rof, tau_rof); toc; -energyfunc_val_rof = TV_energy(single(u_rof),single(u0),lambda_reg, 1); % get energy function value +lambda_reg = 0.02; % regularsation parameter for all methods +iter_rof = 2000; % number of ROF iterations +tau_rof = 0.001; % time-marching constant +epsil_tol = 0.0; % tolerance +tic; [u_rof,infovec] = ROF_TV(single(u0), lambda_reg, iter_rof, tau_rof, epsil_tol); toc; +%energyfunc_val_rof = TV_energy(single(u_rof),single(u0),lambda_reg, 1); % get energy function value rmseROF = (RMSE(u_rof(:),Im(:))); fprintf('%s %f \n', 'RMSE error for ROF-TV is:', rmseROF); [ssimval] = ssim(u_rof*255,single(Im)*255); @@ -29,16 +27,14 @@ fprintf('%s %f \n', 'MSSIM error for ROF-TV is:', ssimval); figure; imshow(u_rof, [0 1]); title('ROF-TV denoised image (CPU)'); %% % fprintf('Denoise using the ROF-TV model (GPU) \n'); -% tau_rof = 0.0025; % time-marching constant -% iter_rof = 1200; % number of ROF iterations -% tic; u_rofG = ROF_TV_GPU(single(u0), lambda_reg, iter_rof, tau_rof); toc; +% tic; u_rofG = ROF_TV_GPU(single(u0), lambda_reg, iter_rof, tau_rof, epsil_tol); toc; % figure; imshow(u_rofG, [0 1]); title('ROF-TV denoised image (GPU)'); %% fprintf('Denoise using the FGP-TV model (CPU) \n'); -lambda_reg = 0.033; -iter_fgp = 200; % number of FGP iterations -epsil_tol = 1.0e-05; % tolerance -tic; u_fgp = FGP_TV(single(u0), lambda_reg, iter_fgp, epsil_tol); toc; +lambda_reg = 0.02; +iter_fgp = 500; % number of FGP iterations +epsil_tol = 1.0e-06; % tolerance +tic; [u_fgp,infovec] = FGP_TV(single(u0), lambda_reg, iter_fgp, epsil_tol); toc; energyfunc_val_fgp = TV_energy(single(u_fgp),single(u0),lambda_reg, 1); % get energy function value rmseFGP = (RMSE(u_fgp(:),Im(:))); fprintf('%s %f \n', 'RMSE error for FGP-TV is:', rmseFGP); @@ -47,15 +43,14 @@ fprintf('%s %f \n', 'MSSIM error for FGP-TV is:', ssimval); figure; imshow(u_fgp, [0 1]); title('FGP-TV denoised image (CPU)'); %% % fprintf('Denoise using the FGP-TV model (GPU) \n'); -% iter_fgp = 300; % number of FGP iterations -% epsil_tol = 1.0e-09; % tolerance % tic; u_fgpG = FGP_TV_GPU(single(u0), lambda_reg, iter_fgp, epsil_tol); toc; % figure; imshow(u_fgpG, [0 1]); title('FGP-TV denoised image (GPU)'); %% fprintf('Denoise using the SB-TV model (CPU) \n'); -iter_sb = 80; % number of SB iterations -epsil_tol = 1.0e-08; % tolerance -tic; u_sb = SB_TV(single(u0), lambda_reg, iter_sb, epsil_tol); toc; +lambda_reg = 0.03; +iter_sb = 300; % number of SB iterations +epsil_tol = 1.0e-06; % tolerance +tic; [u_sb,infovec] = SB_TV(single(u0), lambda_reg, iter_sb, epsil_tol); toc; energyfunc_val_sb = TV_energy(single(u_sb),single(u0),lambda_reg, 1); % get energy function value rmseSB = (RMSE(u_sb(:),Im(:))); fprintf('%s %f \n', 'RMSE error for SB-TV is:', rmseSB); |