Spline and sinc signal interpolations in image geometrical transforms

Vitaly Kober; Michael A. Unser; Leonid P. Yaroslavsky

doi:10.1117/12.199628

19 January 1995 Spline and sinc signal interpolations in image geometrical transforms

Vitaly Kober, Michael A. Unser, Leonid P. Yaroslavsky

Proceedings Volume 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94); (1995) https://doi.org/10.1117/12.199628
Event: Digital Image Processing and Computer Graphics: Fifth International Workshop, 1994, Samara, Russian Federation

Abstract

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.

Citation Download Citation

Vitaly Kober, Michael A. Unser, and Leonid P. Yaroslavsky "Spline and sinc signal interpolations in image geometrical transforms", Proc. SPIE 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94), (19 January 1995); https://doi.org/10.1117/12.199628

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