Spline and sinc signal interpolations in image geometrical transforms

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Pages152-161
Number of pages10
ISBN (Print)0819417076
StatePublished - 1995
Externally publishedYes
Event5th Int. Workshop on Digital Image Processing and Computer Graphics (DIP-94) - Samara, Russia
Duration: 23 Aug 199423 Aug 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2363
ISSN (Print)0277-786X

Conference

Conference5th Int. Workshop on Digital Image Processing and Computer Graphics (DIP-94)
CitySamara, Russia
Period23/08/9423/08/94

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