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
- 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/).
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 - 10.2991/icmii-15.2015.150 ID - Zhao2015/10 ER -