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author | Daniil Kazantsev <dkazanc@hotmail.com> | 2017-07-04 09:35:02 +0100 |
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committer | Daniil Kazantsev <dkazanc@hotmail.com> | 2017-07-04 09:35:02 +0100 |
commit | e097a4edcced2bbc8c78d1302467bdf625deff1d (patch) | |
tree | a848dc49c06ed462988d2f6cce7f2a2212bc4f36 /main_func | |
parent | 75e7ebc79e86710c4cfb05b8af8e429146288c85 (diff) | |
download | regularization-e097a4edcced2bbc8c78d1302467bdf625deff1d.tar.gz regularization-e097a4edcced2bbc8c78d1302467bdf625deff1d.tar.bz2 regularization-e097a4edcced2bbc8c78d1302467bdf625deff1d.tar.xz regularization-e097a4edcced2bbc8c78d1302467bdf625deff1d.zip |
some clearing
Diffstat (limited to 'main_func')
-rw-r--r-- | main_func/FISTA_REC.m | 33 |
1 files changed, 8 insertions, 25 deletions
diff --git a/main_func/FISTA_REC.m b/main_func/FISTA_REC.m index e21ba60..688dcc3 100644 --- a/main_func/FISTA_REC.m +++ b/main_func/FISTA_REC.m @@ -72,7 +72,7 @@ if (isfield(params,'L_const')) L_const = params.L_const; else % using Power method (PM) to establish L constant - niter = 5; % number of iteration for PM + niter = 6; % number of iteration for PM x = rand(N,N,SlicesZ); sqweight = sqrt(weights); [sino_id, y] = astra_create_sino3d_cuda(x, proj_geom, vol_geom); @@ -145,11 +145,6 @@ if (isfield(params,'fidelity')) else fidelity = 'LS'; end -if (isfield(params,'precondition')) - precondition = params.precondition; -else - precondition = 0; -end if (isfield(params,'show')) show = params.show; else @@ -166,6 +161,7 @@ else slice = 1; end if (isfield(params,'initialize')) + % a 'warm start' with SIRT method % Create a data object for the reconstruction rec_id = astra_mex_data3d('create', '-vol', vol_geom); @@ -191,7 +187,6 @@ else X = zeros(N,N,SlicesZ, 'single'); % storage for the solution end - %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Resid_error = zeros(iterFISTA,1); % error vector objective = zeros(iterFISTA,1); % obhective vector @@ -218,12 +213,7 @@ if (lambdaR_L1 > 0) add_ring(:,kkk,:) = squeeze(sino(:,kkk,:)) - alpha_ring.*r_x; end - residual = weights.*(sino_updt - add_ring); - - if (precondition == 1) - residual = filtersinc(residual'); % filtering residual (Fourier preconditioning) - residual = residual'; - end + residual = weights.*(sino_updt - add_ring); vec = sum(residual,2); if (SlicesZ > 1) @@ -295,13 +285,8 @@ else %gr = (2)*res_vec./(s*2 + conj(res_vec).*res_vec); [ff, gr] = studentst(res_vec,1); residual = reshape(gr, Detectors, anglesNumb, SlicesZ); - end - - if (precondition == 1) - residual = filtersinc(residual'); % filtering residual (Fourier preconditioning) - residual = residual'; - end - + end + [id, x_temp] = astra_create_backprojection3d_cuda(residual, proj_geom, vol_geom); X = X_t - (1/L_const).*x_temp; astra_mex_data3d('delete', sino_id); @@ -314,7 +299,7 @@ else else objective(i) = 0.5.*norm(residual(:))^2 + f_val; end - % X = SplitBregman_TV(single(X), lambdaTV, iterTV, tol); % TV-Split Bregman regularization on CPU (memory limited) + %X = SplitBregman_TV(single(X), lambdaTV, iterTV, tol); % TV-Split Bregman regularization on CPU (memory limited) elseif ((lambdaHO > 0) && (lambdaTV == 0)) % Higher Order regularization X = LLT_model(single(X), lambdaHO, tauHO, iterHO, tol, 0); % LLT higher order model @@ -338,10 +323,8 @@ else fprintf('%s %i %s %s %.4f %s %s %.4f \n', 'Iteration Number:', i, '|', 'Error RMSE:', Resid_error(i), '|', 'Objective:', objective(i)); else fprintf('%s %i %s %s %.4f \n', 'Iteration Number:', i, '|', 'Objective:', objective(i)); - end - - end - + end + end end output.Resid_error = Resid_error; output.objective = objective; |