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19 January 1995 Spline and sinc signal interpolations in image geometrical transforms
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.199628; https://doi.org/10.1117/12.199628
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