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Regularized blind deconvolution with poisson data

par Lecharlier, Loïc ;De Mol, Christine
Référence Journal of physics. Conference series, 464, 1, 012003
Publication Publié, 2013

Article révisé par les pairs

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Résumé :

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. © Published under licence by IOP Publishing Ltd.