Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

A novel image restoration technique based on anisotropic diffusion model

Authors
Nan Zhao, Xinqi Zheng, Jianjun Chen
Corresponding Author
Nan Zhao
Available Online October 2015.
DOI
https://doi.org/10.2991/icmii-15.2015.150How to use a DOI?
Keywords
image restoration; total variation; anisotropic; diffusion
Abstract

According to the principles of image restoration and non-linear constraint optimization, a novel image restoration algorithm based on the anisotropic diffusion model was proposed in this article. Based on the image textures and the gradient characteristics at the image edge, the adaptive anisotropic diffusion model was introduced and the cost function was minimized by the energy minimization scheme. Moreover, the nonlinear equations can be linearized using the fixed-point alternating iterative method. As the experimental results demonstrated, the proposed method can effectively restore the blurred images and enhance the restoration quality.

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 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmii-15.2015.150How 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  - Nan Zhao
AU  - Xinqi Zheng
AU  - Jianjun Chen
PY  - 2015/10
DA  - 2015/10
TI  - A novel image restoration technique based on anisotropic diffusion model
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 860
EP  - 863
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.150
DO  - https://doi.org/10.2991/icmii-15.2015.150
ID  - Zhao2015/10
ER  -