initial commit

This commit is contained in:
2026-08-07 15:56:42 +09:00
commit 91ad25aca9
1012 changed files with 159314 additions and 0 deletions
+118
View File
@@ -0,0 +1,118 @@
% INTERPOLATEFT_AX Computes interpolated array using 1D Fourier transform, i.e. dirichlet
% interpolation along single axis. Computes the FT and then adjusts the size by zero padding
% or cropping then it computes the IFT. A real valued input may have
% residual imaginary components, which is given by numerical precision of
% the FT and IFT.
%
% imout = interpolateFT_ax(im,outsize,ax, use_fft)
%
% Inputs:
% **im - Input complex array
% **outsize - Output size of array [N pixels]
% **ax - index of axis along which interpolation is done
% *optional*
% **use_fft - if false, assume that im is already fft-transformed, default = true
%
% Outputs:
% ++imout - Output complex image
%
% Example:
% x = randn(10,20,30);
% x_int = utils.interpolateFT_ax(x, 10, 3) % downsample to 10 pixels along 3rd axis
%*-----------------------------------------------------------------------*
%|                                                                       |
%|  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 [ imout ] = interpolateFT_ax(im,outsize,ax, use_fft)
Nin = size(im);
if ax > ndims(im)
Nin(ax) = 1;
end
if nargin < 4
use_fft = true;
end
Nout = Nin;
Nout(ax) = outsize;
if use_fft
imFT = fft(im,[],ax);
else
imFT = im;
end
centerin = floor(Nin(ax)/2)+1;
centerout = floor(Nout(ax)/2)+1;
center_diff = centerout - centerin;
grid_in = fftshift(1:Nin(ax));
grid_in = grid_in(max(-center_diff+1,1):min(-center_diff+Nout(ax),Nin(ax)));
grid_in = {grid_in,':',':',':'};
grid_in = circshift( grid_in, ax-1);
grid_out = [max(ceil(Nout(ax)/2)+1,Nout(ax) - centerin+2):Nout(ax), ...
1:min(centerin-1, ceil(Nout(ax)/2))];
grid_out = {grid_out,':',':',':'};
grid_out = circshift( grid_out, ax-1);
if Nout(ax) > Nin(ax)
% perform multiplication to keep average values,
% multiply the smaller array to save time
imFT = imFT*(Nout(ax)/(Nin(ax)));
end
imout = zeros(Nout,'like',im);
imout(grid_out{:}) = imFT(grid_in{:});
if use_fft
imout = ifft(imout,[],ax);
end
if Nout(ax) < Nin(ax)
% perform multiplication to keep average values,
% multiply the smaller array to save time
imout = imout*(Nout(ax)/(Nin(ax)));
end
end