ZI = mirt2D_mexinterp(Z,XI,YI) interpolates 2D image Z at the points with coordinates XI,YI. Z is assumed to be defined at regular spaced points 1:N, 1:M, where [M,N]=size(Z). If XI,YI values are outside the image boundaries, put NaNs in ZI. The function is similar to Matlab s native ZI = INTERP2(Z,XI,YI, linear ,NaN), but is much master. If Z is vector valued 2D image (3D array), then iteratively interpolates Z(:,:,1), Z(:,:,2),Z(:,:,3),.. etc. This works faster than to interpolate each image independently, such as ZI(:,:,1) = INTERP2(Z(:,:,1),XI,YI) ZI(:,:,2) = INTERP2(Z(:,:,2),XI,YI) ZI(:,:,3) = INTERP2(Z(:,:,3),XI,YI) The extra speed gain is from the precomputation of coefficients for interpolation, which are the same for all images. Interpolation of a set of images is useful, e.g. for image registration, when one has to interpolate image and its gradients or for vector valued images such as RGB. Limitations: only works for images on a regular grid,

license.txt
mirt2D_mexinterp
................\mirt2D_mexinterp.cpp
................\mirt2D_mexinterp.m

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