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.

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

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