Anisotropic Mesh Representation for Color Images

Xianping Li

doi:10.1109/ICIVC50857.2020.9177477

Anisotropic Mesh Representation for Color Images

Xianping Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	139-143
Number of pages	5
ISBN (Electronic)	9781728166612
DOIs	https://doi.org/10.1109/ICIVC50857.2020.9177477
State	Published - Jul 2020
Event	5th IEEE International Conference on Image, Vision and Computing, ICIVC 2020 - Beijing, China Duration: Jul 10 2020 → Jul 12 2020

Publication series

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

Conference

Conference	5th IEEE International Conference on Image, Vision and Computing, ICIVC 2020
Country/Territory	China
City	Beijing
Period	7/10/20 → 7/12/20

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

Access to Document

10.1109/ICIVC50857.2020.9177477

Cite this

Anisotropic Mesh Representation for Color Images. / Li, Xianping.
2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 139-143 9177477 (2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, X 2020, Anisotropic Mesh Representation for Color Images. in 2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020., 9177477, 2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 139-143, 5th IEEE International Conference on Image, Vision and Computing, ICIVC 2020, Beijing, China, 7/10/20. https://doi.org/10.1109/ICIVC50857.2020.9177477

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title = "Anisotropic Mesh Representation for Color Images",

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.",

keywords = "anisotropic mesh adaptation, color image, finite element interpolation, image representation, metric tensor",

author = "Xianping Li",

note = "Funding Information: ACKNOWLEDGMENT This work has been supported by the Summer Research Fund from College of Integrative Sciences and Arts at Arizona State University. Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 5th IEEE International Conference on Image, Vision and Computing, ICIVC 2020 ; Conference date: 10-07-2020 Through 12-07-2020",

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series = "2020 IEEE 5th International Conference on Image, Vision and Computing, ICIVC 2020",

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PY - 2020/7

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N2 - 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.

AB - 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.

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KW - metric tensor

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Anisotropic Mesh Representation for Color Images

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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