Improved mesh models of images through the explicit representation of discontinuities

Author

Xi Tu ; Adams, Martin

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada

Volume

36

Issue

2

fYear

2013

fDate

Spring 2013

Firstpage

78

Lastpage

86

Abstract

A new mesh model for images that explicitly represents image discontinuities (i.e., image edges), called ERD, is introduced. Then, two mesh-generation methods, known as ERDED and ERDGPI, that select the parameters of this new model for a given image are proposed. The proposed mesh-generation methods are shown to be capable of producing image approximations of higher quality than other competing strategies, both in terms of squared error and subjective quality.

Keywords

approximation theory; image representation; mesh generation; ERDED; ERDGPI; image approximation production; image representation; improved mesh generation model; squared error term; subjective quality term; Approximation algorithms; Approximation methods; Computational modeling; Detectors; Image edge detection; PSNR; Smoothing methods; constrained Delaunay triangulation; image representation; mesh generation; non-uniform sampling; triangle mesh;

fLanguage

English

Journal_Title

Electrical and Computer Engineering, Canadian Journal of

Publisher

ieee

ISSN

0840-8688

Type

jour

DOI

10.1109/CJECE.2013.6601083

Filename

6601083