A Blur-SURE-LET Algorithm to Blind PSF Estimation

2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2014)——In this paper,we consider blind deconvolution that consists of PSF(point spread function) estimation and non-blind deconvolution.It has been proved that blur-SURE-a modified version of SURE(Stein's unbiased risk estimate)-is a valid criterion for parametric PSF estimation.The key contribution of this work is to propose a fast algorithm for the blur-SURE minimization.Incorporating a linear combination of multiple smoother matrices with different but fixed regularization parameters,the optimal regularized processing is obtained by a closed-form solution.This linear parametrization of the processing greatly accelerates the minimization.The extensive experiments show the significant improvement of computational time.The low computational complexity enables the blur-SURE criterion to be readily applied to more complicated parametric forms of PSF.

关键词： 风险估计 点扩展函数 线性参数 平滑矩阵 The 2014 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2

主讲人：Prof. Feng Xue 机构：National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics

时长：0:13:24 年代：2014年