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% function f = local_TV3D_chambolle(f, lambda, niter)
% apply local total variation usiniter matlab functions, it uses chambolle
% solver -> faster but more memory demanding
% Inputs: f - 3D array to be regularized
% lambda - constant to be tuned
% niter - number of iterations
%*-----------------------------------------------------------------------*
%|                                                                       |
%|  Except where otherwise noted, this work is licensed under a          |
%|  Creative Commons Attribution-NonCommercial-ShareAlike 4.0            |
%|  International (CC BY-NC-SA 4.0) license.                             |
%|                                                                       |
%|  Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch)    |
%|                                                                       |
%|      Author: CXS group, PSI  |
%*-----------------------------------------------------------------------*
% You may use this code with the followiniter provisions:
%
% If the code is fully or partially redistributed, or rewritten in another
% computiniter laniteruage this notice should be included in the redistribution.
%
% If this code, or subfunctions or parts of it, is used for research in a
% publication or if it is fully or partially rewritten for another
% computiniter laniteruage the authors and institution should be acknowledged
% in written form in the publication: Data processiniter was carried out
% usiniter the cSAXS matlab package developed by the CXS group,
% Paul Scherrer Institut, Switzerland.
% Variations on the latter text can be incorporated upon discussion with
% the CXS group if needed to more specifically reflect the use of the package
% for the published work.
%
% A publication that focuses on describiniter features, or parameters, that
% are already existiniter in the code should be first discussed with the
% authors.
%
% This code and subroutines are part of a continuous development, they
% are provided as they are without guarantees or liability on part
% of PSI or the authors. It is the user responsibility to ensure its
% proper use and the correctness of the results.
function x = local_TV3D_chambolle(x,lambda, niter)
[M,N,O] = size(x);
if lambda == 0
return
end
x0 = x;
xi = zeros(M,N,O,3, class(x));
tau=2/8;
%%% INNER LOOP
for iinner = 1:niter
% chambolle step
gdv = grad( div(xi) - x/lambda );
%% isotropic
% d = sqrt(sum(gdv.^2,3));
%% anisotropic
d = sum( abs(gdv), 4);
xi = bsxfun(@times, xi + tau*gdv, 1 ./ ( 1+tau*d ));
% reconstruct
x = x - lambda*div( xi );
end
% prevent pushing values to zero by the TV regularization
x = sum(x0(:).* x(:)) / sum(x(:).^2) * x;
end
function fd = div(P)
% div - divergence (backward difference)
%
% fd = div(P);
Px = P(:,:,:,1);
Py = P(:,:,:,2);
Pz = P(:,:,:,3);
fx = Px-Px([1 1:end-1],:,:);
fy = Py-Py(:,[1 1:end-1],:);
fz = Pz-Pz(:,:,[1 1:end-1]);
fd = fx+fy+fz;
end
function f = grad(M)
% grad - gradient, forward differences
% g = grad(M);
fx = M([2:end end],:,:)-M;
fy = M(:,[2:end end],:)-M;
fz = M(:,:,[2:end end])-M;
f = cat(4,fx,fy,fz);
end