Generalized Interpolation: Higher Quality at no Additional Cost

We extend the classical interpolation method to generalized interpolation. This extension is done by replacing the interpolating function by a non-interpolating function that is applied to prefiltered data, in order to preserve the interpolation condition. We show, both theoretically and practically, that this approach performs much better than classical methods, for the same computational cost.


Published in:
Proceedings of the 1999 IEEE International Conference on Image Processing (ICIP'99), Kobe, Japan, 667–671
Year:
1999
Publisher:
IEEE
Laboratories:




 Record created 2015-09-18, last modified 2018-01-28

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