Anisotropic Mesh Representation for Color Images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Triangular meshes have become popular in image representation and have been widely used in image processing to improve computational efficiency and accuracy. This paper introduces anisotropic mesh adaptation (AMA) to represent color images with fewer points while keeping good quality. Finite element interpolation is used in the image reconstruction from the triangular mesh-based representation. A few methods are proposed to deal with the different color channels for representation purpose. Experimental results for various images show that single triangular mesh can represent the color image as good as three-mesh representation and the differences are not significant.

Original languageEnglish (US)
Title of host publication2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages139-143
Number of pages5
ISBN (Electronic)9781728166612
DOIs
StatePublished - Jul 2020
Event5th IEEE International Conference on Image, Vision and Computing, ICIVC 2020 - Beijing, China
Duration: Jul 10 2020Jul 12 2020

Publication series

Name2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020

Conference

Conference5th IEEE International Conference on Image, Vision and Computing, ICIVC 2020
CountryChina
CityBeijing
Period7/10/207/12/20

Keywords

  • anisotropic mesh adaptation
  • color image
  • finite element interpolation
  • image representation
  • metric tensor

ASJC Scopus subject areas

  • Hardware and Architecture
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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