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+utils/unbinning_2D.m

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