Unsupervised deconvolution of satellite images

This paper focuses on hyperparameter estimation of a variational model for image deconvolution. Using the generalized maximum likelihood (GML) estimator, the estimation problem is reduced to the ML estimation in the case of perfectly observed data. A method based on stochastic gradient is then developed for the estimation of both linear and nonlinear hyperparameters.