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This paper proposes a new approach for noisy image restoration using modified artificial bee colony algorithm (ABC algorithm). ABC algorithm combined with the constrained least squares filtering method is used to restore image. In the fuzzy identification, point spread function (PSF) is obtained using ABC algorithm. In the restoring part, the constrained least squares filtering method is used for image restoration. Iterative process is repeated to obtain the estimation of the noisy image. Proposed approach 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.
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