Artificial Bee Colony Algorithm for Image Restoration
Jie Yang, Dan Hu, Weiyu Yu · 2016
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. Artificial bee colony (ABC) algorithmArtificial bee colony algorithm was first introduced by Dervis Karaboga and Basturk in 2005 for solving numerical optimization problems [5].ABC algorithm has achieved better results on the optimization problems [6][7][8][9].The bee colony consists of three kinds of bees: employed bees,