A high order numerical method of MCM equation for image denoising

DOI

10.2991/isci-15.2015.21How to use a DOI?

Keywords

image denoising; mean curvature motion (MCM) equation; ADI method; compact alternating direction implicit (CADI) method; numerical experiment.

Abstract

The nonlinear PDE model with special geometry, mean curvature motion (MCM) equation has been implemented by many methods in image processing. In this paper, the compact alternating direction implicit (CADI) method is constructed for MCM equation to denoise the noisy image, which is based on the alternating direction implicit (ADI) method. In theory, this paper is intended to discuss the properties of the CADI method in several aspects. The numerical experiments show that the effect of the CADI method for 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  - Guangyuan Chi
AU  - Xiaozhong Yang
PY  - 2015/01
DA  - 2015/01
TI  - A high order numerical method of MCM equation for image denoising
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 136
EP  - 142
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.21
DO  - 10.2991/isci-15.2015.21
ID  - Chi2015/01
ER  -