Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Split Bregman iteration for hybrid regularization based image restoration

Authors
Zhou Weifeng, Li Qingguo, Liang Lin
Corresponding Author
Zhou Weifeng
Available Online November 2013.
DOI
10.2991/icmt-13.2013.105How to use a DOI?
Keywords
Image restoration; optimization problem; split Bregman iteration
Abstract

In this paper, the hybrid regularization based scheme for image restoration is researched in detail. This strategy contains two regularization items, which helps to achieve superior image reconstruction. To quickly minimize the energy functional, we adopt the fast split Bregman iteration method. Numerical simulations distinctly demonstrate the superiority of our advanced scheme for image recovery over the traditional method.

Copyright
© 2013, 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 3rd International Conference on Multimedia Technology(ICMT-13)
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/icmt-13.2013.105
ISSN
1951-6851
DOI
10.2991/icmt-13.2013.105How to use a DOI?
Copyright
© 2013, 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  - Zhou Weifeng
AU  - Li Qingguo
AU  - Liang Lin
PY  - 2013/11
DA  - 2013/11
TI  - Split Bregman iteration for hybrid regularization based image restoration
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 847
EP  - 853
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.105
DO  - 10.2991/icmt-13.2013.105
ID  - Weifeng2013/11
ER  -