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Image reconstruction using data-dependent triangulation

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Permanent URL	http://hdl.lib.byu.edu/1877/1306
Title	Image reconstruction using data-dependent triangulation
BYU Creator	Sederberg, Thomas W. Yu, Xiaohua Morse, Bryan S.
Keywords	computational geometry; image reconstruction; optimisation; piecewise linear techniques;Â DDT; axis-aligned methods; bicubic spline reconstruction; coordinate axes; cost functions; data-dependent triangulation; higher quality images; image reconstruction; piecewise linear intensity surface
Description/Abstract	Image reconstruction based on data-dependent triangulation with new cost functions and optimization can create higher quality images than traditional bilinear or bicubic spline reconstruction. The article presents a novel method for image reconstruction using a piecewise linear intensity surface whose elements don't generally align with the coordinate axes. This method is based on the technique of data-dependent triangulation (DDT) that N. Dyn et al. (1990) introduced and has proven capable of producing more pleasing reconstructions than axis-aligned methods.
Source	Xiaohua Yu, B. S. Bryan, and T. W. Sederberg. "Image Reconstruction using Data-Dependent Triangulation." Computer Graphics and Applications, IEEE 21.3 (2001): 62-8.;
Publisher	IEEE
Date Original	2001-05
Language	English eng en
Publication Type	Articles
Type	Text
Format	application/pdf
Owning Institution	Brigham Young University
BYU College	College of Physical and Mathematical Sciences
BYU Department	Computer Science
Copyright Status	(c) 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.";
Copyright Use Information	http://www.lib.byu.edu/generic_copyright.html

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