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2026-09-17 21:49:08 +09:00 · 2026-08-07 15:56:42 +09:00
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+% [Im] = nonlocalTV_GPU(Im0,CloseInd, Neighbours, Rwin,Niter,lambda, dt, eps)
+% FUNCTION 
+%   nonlocal total variation solved by a simple steepest descent solver 
+% Inputs:
+%     Im0 - regularized array (3D volume) 
+%     CloseInd - close indices generated by nonlocalTV_weight code  
+%     Neighbours - number of neighbors used for calculation 
+%     Rwin - radius of the window used to find similar regions 
+%     Niter - number of reconstruction iterations 
+%     lambda - step size (tunning value), usually < 1, if zero ->
+%           completelly ignore data and just find the solution that most fits to
+%           nonlocal TV constraint 
+%     dt - also kind of step size (tunning value), usually << 1
+%     eps - regularization constant (tunning value), usually << 1
+% RECOMPILE COMMAND
+%   mexcuda -output +regularization/private/nonlocalTV_tex +regularization/private/TV_cuda_texture.cu +regularization/private/nonlocalTV_mex.cpp
+
+
+%*-----------------------------------------------------------------------*
+%|                                                                       |
+%|  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 following provisions:
+%
+% If the code is fully or partially redistributed, or rewritten in another
+%   computing language 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 
+%   computing language the authors and institution should be acknowledged 
+%   in written form in the publication: “Data processing was carried out 
+%   using 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 describing features, or parameters, that
+%    are already existing 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 [Im] = nonlocalTV_GPU(Im0,CloseInd, Neighbours, Rwin,Niter,lambda, dt, eps)
+
+    keep_on_gpu = isa(Im0, 'gpuArray');
+
+    CloseInd = gpuArray(uint8(CloseInd));
+    Im0 = gpuArray(single(Im0));
+
+    try
+        %Input should be between 0 and 1 to make the regularizations constants selection
+        %kind of repeatable for similar samples 
+        minIm=min(Im0(:));
+        Im0=Im0-minIm;
+        maxIm=prctile(Im0(1:10:end), 99);
+        Im0=Im0/maxIm;
+
+    catch err
+        error(err.message)
+
+    end
+
+    Nclose = size(CloseInd,ndims(CloseInd));
+
+
+
+    %% primitive replacement of the real weights based on assumption that CloseInd is sorted by importance !!! 
+    Nnbrs = size(CloseInd,ndims(CloseInd));
+    % Nbrs_weights = single(exp(-linspace(0,1,Nnbrs)));
+    Nbrs_weights = single(1./(1:Nnbrs));
+    % Nbrs_weights = ones(Nnbrs,1, 'single');
+
+    % keyboard
+
+    % tic
+    Im = nonlocalTV_tex(Im0,CloseInd,uint8(Neighbours), Nbrs_weights, dt, eps, lambda, Nclose, Rwin,Niter);
+    % wait(gpu)
+    % toc
+
+
+    %Back to original pixel range
+    Im=Im*maxIm;
+    Im=Im+minIm;
+
+    if ~keep_on_gpu
+        Im = gather(Im);
+    end
+
+
+end