Abstract
In this paper, a Wiener Filter(WF)based on the Gaussian mixtured distribution model is adopted to restoration of blured mages with additive noise. In this method, image signals in local blocks are classified into finite number of Gaussian processes and WF's are applied to each process individually to adapt WF to local variation of image statistics. In the case of restoring bured images, detection of the model parameter is significantly suffered with noise and performance of restoration is reduced. To improve detection of the model parameter, a regularization method is adopted. Finally simulation results show the efficiency of the proposed method.
