Identification of shift-variant point spread function for a class of imaging systems
A maximum a posteriori-Markov random field (MAP-MRF) based scheme is proposed for identifying a class of shift-variant imaging systems whose point spread function can be parameterized by a single blur parameter. The space-variant (SV) blur parameter is modeled as an MRF and its MAP estimate is obtained using simulated annealing. The performance of the proposed scheme is tested on both synthetic as well as real data and the estimates of the SV blur are found to be better than that of the window-based blur identification technique.