Combined approach of blind image restoration

When Point Spread Function (PSF) is not known or only partially determined,restoration of the degraded images is called Blind Image Restoration(BIR).In recent years,BIR Algorithms (BIRA) have been studied widely.Iterative blind deconvolu- tion has produced an obvious result in suppressing noise spread and reserving the edge information,but it can not remove noise effectively without knowing the point spread function and noise,which lead to image restoration with poor effects.Taking the char- acteristics of blind restoration into account,a combined approach of blind image restoration is put forward,which can solve the problem that iterative blind deconvolution can not remove noise effectively.Finally,experimental results prove feasibility and valid- ity of the method.