Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method

DOI10.1016/S0031-3203(00)00178-3zbMath0993.68136OpenAlexW1971758257MaRDI QIDQ5959608

Josiane Zerubia, Laure Blanc-Féraud, André Jalobeanu

Publication date: 30 September 2002

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(00)00178-3

zbMATH Keywords

Geman-Yang algorithmsatellite image deconvolution problem

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (3)

Towards interval-based non-additive deconvolution in signal processing ⋮ Bayesian Inference Based on Stationary Fokker-Planck Sampling ⋮ Towards a Robust Imprecise Linear Deconvolution

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• Numerical Bayesian Methods Applied to Signal Processing
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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