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tata1661
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function [r, s,h]= admm_stop(a,b,c,bold,rho,i_d,h) | ||
a_length = numel(a); | ||
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ABSTOL = 1e-3; | ||
RELTOL = 1e-3; | ||
h.r_norm(i_d) = norm(a(:)-b(:)); | ||
h.s_norm(i_d) = norm(-rho*(b(:)-bold(:))); | ||
h.eps_pri(i_d)=sqrt(a_length)*ABSTOL+RELTOL*max(norm(a(:)),norm(b(:))); | ||
h.eps_dual(i_d)=sqrt(a_length)*ABSTOL+RELTOL*norm(c(:)); | ||
r = h.r_norm(i_d) < h.eps_pri(i_d); | ||
s = h.s_norm(i_d) < h.eps_dual(i_d); | ||
% if h.r_norm(i_d)>10*h.s_norm(i_d) | ||
% rho = rho*2; | ||
% elseif h.s_norm(i_d)>10*h.r_norm(i_d) | ||
% rho = rho/2; | ||
% end | ||
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end |
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function PARA = auto_para_apg(R,K,psf_s,b,des,precS,use_gpu,tol) | ||
PARA = []; | ||
PARA.verbose = des; | ||
PARA.precS = precS; | ||
PARA.gpu = use_gpu; | ||
PARA.K=K; | ||
PARA.psf_s = psf_s; | ||
PARA.psf_radius = floor( PARA.psf_s/2 ); | ||
PARA.tol = tol; | ||
lambda_residual = 1; | ||
lambda_l1 = 0.1; | ||
%% | ||
PARA.lambda = [lambda_residual, lambda_l1]; | ||
PARA.max_it = 100; | ||
PARA.max_it_d=100; | ||
PARA.max_it_z=100; | ||
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PARA.n =1; | ||
PARA.size_ori_x = size(b); | ||
PARA.N = size(b,3); | ||
PARA.size_x = [size(b,1) + 2*PARA.psf_radius(1), size(b,2) + 2*PARA.psf_radius(2),PARA.n]; | ||
PARA.size_z = [PARA.size_x(1), PARA.size_x(2), PARA.K,PARA.n]; | ||
PARA.size_k = [2*PARA.psf_radius(1) + 1, 2*PARA.psf_radius(2) + 1,PARA.K]; | ||
PARA.size_k_full = [PARA.size_x(1), PARA.size_x(2), PARA.K]; | ||
PARA.kernel_size = [PARA.psf_s,PARA.K]; | ||
%% | ||
mul_heur = 5000;%%%%% use 5000 to recover ori. | ||
gamma_heuristic = mul_heur* 1/(100*max(b(:))); | ||
PARA.rho_D = gamma_heuristic; | ||
PARA.rho_Z = gamma_heuristic; | ||
PARA.max_it_w = 100; | ||
PARA.rho_W = gamma_heuristic; | ||
PARA.R=R; % used to be baseK | ||
PARA.size_y = [PARA.size_x(1), PARA.size_x(2), PARA.R,PARA.n]; | ||
end |
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function d_small = d2dsmall(d,para) | ||
if size(para.psf_s,2) == 2 | ||
d_small = circshift( d, [para.psf_radius,0] ); | ||
%d_small = d_small(1:para.psf_radius*2+1,:); | ||
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if mod(para.psf_s(1),2)==1 | ||
left_idx = 1:para.psf_radius(1)*2+1; | ||
else | ||
left_idx = 1:para.psf_radius(1)*2+1; | ||
end | ||
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if mod(para.psf_s(2),2)==1 | ||
right_idx = 1:para.psf_radius(2)*2+1; | ||
else | ||
right_idx = 1:para.psf_radius(2)*2; | ||
end | ||
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d_small = d_small(left_idx,right_idx,:); | ||
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else | ||
keyboard | ||
% d_small = circshift( d, [para.psf_radius, para.psf_radius,0] ); | ||
% d_small = d_small(1:para.psf_radius*2+1, 1:para.psf_radius*2+1,:); | ||
end | ||
end |
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function d = dsmall2d(d_small,para) | ||
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ndim = length( para.size_z ) - 2; | ||
d = padarray( d_small, [para.size_x(1:ndim) - para.psf_s, 0], 0, 'post'); | ||
d = circshift(d, -[para.psf_radius, 0] ); | ||
end |
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function [W,s_small,z] = init_SWZ(para) | ||
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[W,s_small] = initWR(para); %% for test only | ||
z = randn(para.size_z); | ||
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if (para.precS ==1) | ||
s_small = single(s_small); | ||
W = single(W); | ||
z = single(z); | ||
end | ||
if (para.gpu ==1) | ||
s_small = gpuArray(s_small); | ||
W = gpuArray(W); | ||
z = gpuArray(z); | ||
end | ||
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end |
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function [ps,rmse] = my_psnr(b,Dz,par) | ||
ndim = length(par.size_z)-2; | ||
size_Dz = size(Dz); | ||
it = sqrt(prod(size_Dz(1:ndim))); | ||
p1 =20*log10(it); | ||
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ndim = length(par.size_z)-2; | ||
pp = prod(par.size_ori_x(1:ndim)); | ||
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b = reshape(b,pp,[]) ; | ||
Dz = reshape(Dz,pp,[]) ; | ||
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for i=1:size(b,2) | ||
b_tmp = b(:,i); | ||
Dz_tmp = Dz(:,i); | ||
tmp = norm((b_tmp(:) - Dz_tmp(:))); | ||
p2 = 20*log10(tmp); | ||
p(i) = p1 - p2; | ||
end | ||
ps=mean(p); | ||
rmse = sqrt( 1/length(b(:)) * (tmp^2)); | ||
end |
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function plot_cmp(x,reconstruction) | ||
figure() | ||
if size(x,3)~=1 | ||
x=x(:,:,1); | ||
reconstruction = reconstruction(:,:,1); | ||
end | ||
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subplot(1,2,1), imshow(x); axis image, colormap gray, title('Orig'); | ||
subplot(1,2,2), imshow(reconstruction); axis image, colormap gray; title(sprintf('Rec')); | ||
%psnr_see = psnr(x,reconstruction); | ||
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end |
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function [rec]=rec(z,d,par) | ||
rec = zeros([par.size_x(1),par.size_x(2),par.n]); | ||
for i_n = 1:size(z,4) | ||
for i_k = 1:size(z,3) | ||
rec(:,:,i_n) = rec(:,:,i_n)+conv2(z(:,:,i_k,i_n),d(:,:,i_k),'full'); | ||
end | ||
end | ||
end |
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function [ Dz_small,Dz] = rec_fre(d_hat,z_hat,par) | ||
Dz = real(ifft2( reshape(sum(d_hat .* z_hat, 3), par.size_x) )); | ||
Dz_small = x2xsmall(Dz,par); | ||
end | ||
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function dd_hat = solve_conv_term_D(sub, Ahi,Bhi, par,hk) | ||
sy = par.size_z(1); sx = par.size_z(2); | ||
left = Bhi+permute( reshape(sub, sx * sy, 1, hk), [3,2,1] ); | ||
clear Bhi ss_hat yy_hat | ||
if par.gpu==1 | ||
x2 = pagefun(@mtimes,Ahi,left); | ||
else | ||
% for i = 1:size(Ahi,3) | ||
% x2(:,:,i) = Ahi(:,:,i)*left(:,:,i); | ||
% end | ||
x2 = mtimesx(Ahi,left); | ||
end | ||
clear Ahi | ||
dd_hat = reshape(permute(x2,[3,1,2]),sy,sx,[]); | ||
end |
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function sp = sparse_level(z,par) | ||
z_length = prod(par.size_z); | ||
temp1 = z(:); | ||
sp = length( temp1(abs(temp1)<1e-5))/z_length *100; | ||
end |
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function x = x2xsmall(x,par) | ||
ndim = length(par.size_z)-2; | ||
if ndim == 2 | ||
x = x(1 + par.psf_radius(1):end - par.psf_radius(1),1 + par.psf_radius(2):end - par.psf_radius(2),:); | ||
end | ||
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end |
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function [nb,veam,vstd] = z0u1(b) | ||
% zero mean and unit variance | ||
size_b=size(b); | ||
p=prod(size_b(3:end)); | ||
vmsi = permute(reshape(double(b), [], p), [2 1]); | ||
veam = mean(vmsi,2); | ||
vstd = std(vmsi, 0, 2); | ||
vmsi = (vmsi-repmat(veam, [1 size(vmsi,2)])) ./ repmat(vstd, [1 size(vmsi,2)]); | ||
nb = reshape(vmsi', size_b); | ||
end |