Any imaging system has to deal with the problem of degradation of images due to blurring and noise. The authors consider the problem of blur identification, in the presence of noise. They use a stochastic model for the blur matrix. Then, they use the mean field approximation technique which enables to obtain a closed-form expression for the mean values of the blur elements. This technique is proven to be versatile enough to handle wide varieties of blur matrices. Simulation results for estimation of the blur matrix using this formulation have also been presented.
['Dilip G. Warrier', 'Uday B. Desai']
Point spread function estimation using the mean field approximation