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62 lines
3.0 KiB
Matlab
62 lines
3.0 KiB
Matlab
% UNBINNING_2D - perform reverse opetation to binning, is replication if
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% elements for given upsampling factor. It is very fast method for data
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% upsampling
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% x = unbinning_2D(x, upsample)
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% Inputs:
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% **x - original array, upsampling will be performed only along the first two axis
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% **upsample - scalar or (2,1) array, positive integer upsampling factor
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%
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% returns:
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% ++x - upsampled array
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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 x = unbinning_2D(x, upsample)
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if all(upsample <= 1); return ; end
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Npix = [size(x,1), size(x,2), size(x,3)];
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if isscalar(upsample); upsample = repmat(upsample, 1,2); end
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upsample = reshape(upsample,1,[]);
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x = reshape(x, [1,Npix(1),1,Npix(2),Npix(3)]);
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x = repmat(x, [upsample(1),1,upsample(2),1,1]);
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x = reshape(x,Npix(1)*upsample(1), Npix(2)*upsample(2), Npix(3));
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end |