Regularized Blind Deconvolution with Poisson Data

Loïc Lecharlier, Christine De Mol
2013 Journal of Physics, Conference Series  
We propose easy-to-implement algorithms to perform blind deconvolution of nonnegative images in the presence of noise of Poisson type. Alternate minimization of a regularized Kullback-Leibler cost function is achieved via multiplicative update rules. The scheme allows to prove convergence of the iterates to a stationary point of the cost function. Numerical examples are reported to demonstrate the feasibility of the proposed method.
doi:10.1088/1742-6596/464/1/012003 fatcat:nkvgp4cyrrgwjknkqmgdhbt7ou