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

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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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  -