% INTERPOLATEFT_CENTERED Perform FT interpolation of provided stack of images using FFT so that % the center of mass is not modified after the resolution change % This function is critical for subpixel accurate up/down sampling % % imout = interpolateFT_centered(im,downsample,interp_sign) % % Inputs: % **im - Input complex 2D array or stacked 3D array % **Npix_new - (2x1 vector) Size of the interpolated array % **interp_sign - +1 or -1, sign that adds extra 1px shift. +1 is needed % if interpolation is used to downsample phase gradient which is used for % unwrapping, otherwise use -1 % *returns*: % ++imout - Output complex image % %*-----------------------------------------------------------------------* %|                                                                       | %|  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 ] = interpolateFT_centered(img,Np_new, interp_sign) import utils.* import math.* Np = size(img); Np_new = 2+Np_new; isReal = isreal(img); scale = prod((Np_new-2)) / prod(Np(1:2)); downsample = ceil(sqrt(1/scale)); if isa(img, 'gpuArray') scale = Garray(scale); end % apply the padding to account for boundary issues img = padarray(img, double([downsample,downsample]), 'symmetric' ,'both'); % go to the fourier space img = fft2(img); % apply +/-0.5 px shift img = imshift_fft(img, interp_sign*-0.5, interp_sign*-0.5, false); % crop in the Fourier space (can be speeded up similarly to example in utils.interpolateFT_ax ) img = ifftshift_2D(crop_pad(fftshift_2D(img), Np_new)); % apply -/+0.5 px shift in the cropped space img = imshift_fft(img, interp_sign*0.5, interp_sign*0.5, false); % return to the real space img = ifft2(img); % scale to keep the average constant img = img*scale; % remove the padding img = img(2:end-1, 2:end-1,:); if isReal img = real(img); % preserve complexity end end