# Bayesian estimation of regularization and PSF parameters for Wiener-Hunt deconvolution

@article{Orieux2010BayesianEO, title={Bayesian estimation of regularization and PSF parameters for Wiener-Hunt deconvolution}, author={François Orieux and Jean-François Giovannelli and Thomas Rodet}, journal={Journal of the Optical Society of America. A, Optics, image science, and vision}, year={2010}, volume={27 7}, pages={ 1593-607 } }

This paper tackles the problem of image deconvolution with joint estimation of point spread function (PSF) parameters and hyperparameters. Within a Bayesian framework, the solution is inferred via a global a posteriori law for unknown parameters and object. The estimate is chosen as the posterior mean, numerically calculated by means of a Monte Carlo Markov chain algorithm. The estimates are efficiently computed in the Fourier domain, and the effectiveness of the method is shown on simulated…

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