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Proceedings Paper

Spline and sinc signal interpolations in image geometrical transforms
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Paper 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.

Paper Details

Date Published: 19 January 1995
PDF: 10 pages
Proc. SPIE 2363, 5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94), (19 January 1995); doi: 10.1117/12.199628
Show Author Affiliations
Vitaly Kober, National Institutes of Health (United States)
Michael A. Unser, National Institutes of Health (United States)
Leonid P. Yaroslavsky, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 2363:
5th International Workshop on Digital Image Processing and Computer Graphics (DIP-94)
Nikolai A. Kuznetsov; Victor A. Soifer, Editor(s)

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