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Spline and Sinc Signal Interpolations in Image Geometrical Transforms

V. Kober, M. Unser, L.P. Yaroslavsky

Proceedings of the SPIE Fifth International Workshop on Digital Image Processing and Computer Graphics (DIP'94), Samara, Russia, August 23-26, 1994, vol. 2363, pp. 152-161.



Spline and sinc interpolation methods for image geometrical transforms and their efficient computational implementations are described. Experimental comparison of the methods in terms of the root mean squared error of the reconstructed image after rotation shows that they significantly outperform the conventional methods of nearest neighbor and bilinear interpolation.


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