Artificial Bee Colony Algorithm for Image Restoration
- https://doi.org/10.2991/iceeecs-16.2016.186How to use a DOI?
- ABC algorithm; Wiener Filter; Image Restoration
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.
- © 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 -