Keywords
computational geometry, image reconstruction, optimisation, piecewise linear techniques, DDT, axis-aligned methods, bicubic spline reconstruction, coordinate axes, cost functions, data-dependent triangulation, higher quality images, image reconstruction, piecewise linear intensity surface
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.
Original Publication Citation
Xiaohua Yu, B. S. Bryan, and T. W. Sederberg. "Image Reconstruction using Data-Dependent Triangulation." Computer Graphics and Applications, IEEE 21.3 (21): 62-8.
BYU ScholarsArchive Citation
Sederberg, Thomas W.; Yu, Xiaohua; and Morse, Bryan S., "Image reconstruction using data-dependent triangulation" (2001). Faculty Publications. 571.
https://scholarsarchive.byu.edu/facpub/571
Document Type
Peer-Reviewed Article
Publication Date
2001-05-01
Permanent URL
http://hdl.lib.byu.edu/1877/1306
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 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://lib.byu.edu/about/copyright/