Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Artificial Bee Colony Algorithm for Image Restoration

Authors
Jie Yang, Dan Hu, Weiyu Yu
Corresponding Author
Jie Yang
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.186How to use a DOI?
Keywords
ABC algorithm; Wiener Filter; Image Restoration
Abstract

This paper proposes a new method for image restoration using artificial bee colony algorithm (ABC algorithm). ABC algorithm combined with wiener filter is used to restore image. In the fuzzy identification, ABC algorithm is used for optimization the point spread function (PSF). In the restoring part, wiener filter is used for image restoration. Proposed method overcomes the problem of the traditional image restoring, which needs to know the PSF in advance. In addition, this method improves the performance of the traditional ABC algorithm by initializing the first group of bee colony. The pretreatment can reduce the randomness and improve the performance of ABC algorithm. Experimental results showed that the proposed method is effective for image restoration.

Copyright
© 2016, 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 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.186How to use a DOI?
Copyright
© 2016, 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  - Jie Yang
AU  - Dan Hu
AU  - Weiyu Yu
PY  - 2016/12
DA  - 2016/12
TI  - Artificial Bee Colony Algorithm for Image Restoration
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 968
EP  - 973
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.186
DO  - https://doi.org/10.2991/iceeecs-16.2016.186
ID  - Yang2016/12
ER  -