Artificial Bee Colony Algorithm for Image Restoration

DOI

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/).

Download article (PDF)

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  - 10.2991/iceeecs-16.2016.186
ID  - Yang2016/12
ER  -