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% IMSHIFT_LINEAR will apply shift that can be different for
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% each frame.
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% + compared to imshift_fft, it does not have periodic boundary
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% + it is based on linear interpolation, so it can be run fast on GPU
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% + integer shift is equivalent to imshift_fft (up to the boundary condition)
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% - it needs for-loop for each frame -> it gets slow on GPU for
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% shifting my small images. In that case imshift_fft can be faster.
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%
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% img = imshift_linear(img, x,y, method)
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%
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% Inputs:
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% **img input image / stack of images
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% **x applied shift or vector of shifts for each frame
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% **y applied shift or vector of shifts for each frame
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% **method choose interpolation method: nearest, {linear}, cubic , circ
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%
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% *returns*:
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% ++img shifted image / stack of images
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%
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% see also: utils.imshift_fast, utils.imshift_fft
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%*-----------------------------------------------------------------------*
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%| |
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%| Except where otherwise noted, this work is licensed under a |
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%| Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
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%| International (CC BY-NC-SA 4.0) license. |
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%| |
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%| Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch) |
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%| |
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%| Author: CXS group, PSI |
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%*-----------------------------------------------------------------------*
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% You may use this code with the following provisions:
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%
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% If the code is fully or partially redistributed, or rewritten in another
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% computing language this notice should be included in the redistribution.
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%
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% If this code, or subfunctions or parts of it, is used for research in a
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% publication or if it is fully or partially rewritten for another
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% computing language the authors and institution should be acknowledged
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% in written form in the publication: “Data processing was carried out
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% using the “cSAXS matlab package” developed by the CXS group,
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% Paul Scherrer Institut, Switzerland.”
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% Variations on the latter text can be incorporated upon discussion with
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% the CXS group if needed to more specifically reflect the use of the package
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% for the published work.
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%
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% A publication that focuses on describing features, or parameters, that
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% are already existing in the code should be first discussed with the
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% authors.
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%
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% This code and subroutines are part of a continuous development, they
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% are provided “as they are” without guarantees or liability on part
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% of PSI or the authors. It is the user responsibility to ensure its
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% proper use and the correctness of the results.
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function img = imshift_linear(img, x,y, method)
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if nargin < 3
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y = x(:,2);
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x = x(:,1);
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end
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if nargin < 4
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method = 'linear';
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end
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if all(x==0) && all(y==0)
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return
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end
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real_img = isreal(img);
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[Nx, Ny,Nlayers] = size(img);
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if isscalar(x)
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x = ones(Nlayers,1) * x;
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end
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if isscalar(y)
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y = ones(Nlayers,1) * y;
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end
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if strcmpi(method, 'circ')
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% perform fast shift with circular boundary condition
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X = 1:Nx;
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Y = 1:Ny;
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for ii = 1:Nlayers
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img(:,:,ii) = img(circshift(X,round(y(ii))), ...
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circshift(Y,round(x(ii))),ii);
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end
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else
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for ii = 1:Nlayers
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%x(ii)
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%y(ii)
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img(:,:,ii) = interp2(single(img(:,:,ii)), single(-x(ii)+(1:Ny)),single(-y(ii)+(1:Nx)'), method,0);
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end
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end
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end
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