Proceedings of the 2015 International Symposium on Computers & Informatics

Image Denoising Based on TVD Runge-Kutta Method And Projection Algorithm

Authors
Zhenhai Wang, Lan Zhang, Yufeng Nie, Xuewei Cui
Corresponding Author
Zhenhai Wang
Available Online January 2015.
DOI
10.2991/isci-15.2015.135How to use a DOI?
Keywords
Total variation;Image denoising;Projection gradien
Abstract

In this paper, based on Chambolle’s Projection Algorithm, an PDE was proposed to replace the total variation model for removing image noise. In order to improve the algorithm, the TVD Runge-Kutta method, which has high-precision of time direction, was introduced to solve the equation. The numerical results show that the algorithm has high efficiency. It can make the image smoother, and it improve the speed of image denoising.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.135
ISSN
2352-538X
DOI
10.2991/isci-15.2015.135How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhenhai Wang
AU  - Lan Zhang
AU  - Yufeng Nie
AU  - Xuewei Cui
PY  - 2015/01
DA  - 2015/01
TI  - Image Denoising Based on TVD Runge-Kutta Method And Projection Algorithm
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1022
EP  - 1030
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.135
DO  - 10.2991/isci-15.2015.135
ID  - Wang2015/01
ER  -