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% INTERPOLATE_LINEAR rescaling based on interp2, faster than utils.interpolateFT,
% works also with GPU
% Note: for small arrays processed on GPU, utils.interpolateFT can be
% faster due to lower overhead (no for-loop)
%
% img = interpolate_linear(img, scale, method)
%
% Inputs:
% **img - 2D or stack of 2D images
% **scale - scaling factor
% **method - linear (default), cubic, nearest
% *returns*:
% ++img_out - 2D or stack of 2D images scaled by factor scale
%*-----------------------------------------------------------------------*
%|                                                                       |
%|  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 = interpolate_linear(img, sizeOut, method)
[Nx, Ny,Nlayers] = size(img);
if all([Nx,Ny] == sizeOut(1:2))
img_out = img;
return
end
if nargin < 3
method = 'linear';
end
img_out = zeros([sizeOut(1:2), Nlayers],'like',img);
for ii = 1:Nlayers
img_out(:,:,ii) = interp2(img(:,:,ii), linspace(1,Ny,sizeOut(2)),linspace(1,Nx,sizeOut(1))', method);
end
end