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2D interpolation

5.0 | 1 rating Rate this file 7 Downloads (last 30 days) File Size: 3.74 KB File ID: #24183 Version: 1.1
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2D interpolation



18 May 2009 (Updated )

Fast 2D linear interpolation of scalar of vector valued 2D images.

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 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, and only with linear interpolation method.

Don't forget to compile first:
mex mirt2D_mexinterp.cpp

Enjoy! See more at my homepage:

MATLAB release MATLAB 7.4 (R2007a)
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Comments and Ratings (2)
10 Jun 2011 Francisco Beron-Vera

Great job! (I couldn't get to work CUDA versions.) Thank you!

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15 Aug 2010 Harrison Woods

very useful for my applications, and very nice code! Thanks Andriy!

10 May 2011 1.1

small fix

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