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% IMSHIFT_LINEAR_AX will apply shift that can be different for
% each frame along axis ax
% + compared to imshift_fft, it does not have periodic boundary
% + it is based on linear interpolation, so it can be run fast on GPU
% + integer shift is equivalent to imshift_fft (up to the boundary condition)
% - it needs for-loop for each frame -> it gets slow on GPU for
% shifting my small images. In that case imshift_fft can be faster.
%
% img = imshift_linear(img, x,y, method)
%
% Inputs:
% **img input image / stack of images
% **shift applied shift or vector of shifts for each frame
% **ax axis along which the shift will be performed
% **method choose interpolation method: nearest, {linear}, cubic , circ
% **extrap_val filling value for the missing regions after interpolation (default=nan)
%
% returns:
% ++img shifted image / stack of images
%
% see also: utils.imshift_fast, utils.imshift_fft
%*-----------------------------------------------------------------------*
%|                                                                       |
%|  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 img_out = imshift_linear_ax(img, shift, ax, method, extrap_val)
if nargin < 4
method = 'linear';
end
if nargin < 5
extrap_val = nan;
end
if all(shift == 0)
img_out=img;
return
end
Npix = size(img);
img = single(img);
img = shiftdim(img, ax-1);
img_out = img;
ind = {':',':',':'}; % assume max 3 dim
ax_0 = 1+mod(ax,ndims(img)); % fixed axis
if strcmpi(method, 'circ')
% apply NN shift with circular condition
for i = 1:Npix(ax_0)
ind{ax_0} = i;
img_out(ind{:}) = circshift(img(ind{:}), round(shift(i)), ax);
end
else
for ii = 1:Npix(ax_0)
ind{ax_0} = ii;
img_out(ind{:}) = interp1(1:size(img,1), img(ind{:}), -shift(ii)+(1:size(img,1)), method, extrap_val);
end
end
img_out = shiftdim(img_out, ax-1);
end