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