109 citations · 367 across the 19 of their papers we have counts for
4 papers · 1 filter
Bayesian model selection for unsupervised image deconvolution with structured Gaussian priors
Benjamin Harroué, Jean-François Giovannelli, Marcelo Pereyra
This paper considers the objective comparison of stochastic models to solve inverse problems, more specifically image restoration. Most often, model comparison is addressed in a su…
Gradient Scan Gibbs Sampler: an efficient algorithm for high-dimensional Gaussian distributions
Olivier Féron, François Orieux, Jean-François Giovannelli
This paper deals with Gibbs samplers that include high dimensional conditional Gaussian distributions. It proposes an efficient algorithm that avoids the high dimensional Gaussian…
Efficient sampling of high-dimensional Gaussian fields: the non-stationary / non-sparse case
F. Orieux, O. Féron, J. -F. Giovannelli
This paper is devoted to the problem of sampling Gaussian fields in high dimension. Solutions exist for two specific structures of inverse covariance : sparse and circulant. The pr…
Bayesian estimation of regularization and PSF parameters for Wiener-Hunt deconvolution
Francois Orieux, Jean-Francois Giovannelli, Thomas Rodet
This paper tackles the problem of image deconvolution with joint estimation of PSF parameters and hyperparameters. Within a Bayesian framework, the solution is inferred via a globa…