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Generalized Interpolation: Higher Quality at no Additional Cost

T. Blu, P. Thévenaz, M. Unser

Proceedings of the 1999 IEEE International Conference on Image Processing (ICIP'99), 神戸市 (Kobe), Japan, October 25-28, 1999, vol. III, pp. 667-671.



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.


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