Marginal likelihood estimation in semiblind image deconvolution: a stochastic approximation approach
DOI10.1137/23m1584496MaRDI QIDQ6587642
Marcelo Pereyra, Charlesquin Kemajou Mbakam, J.-F. Giovannelli
Publication date: 14 August 2024
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
empirical Bayesmodel selectionMarkov chain Monte Carloimage deblurringsemi-blind inverse problemsstochastic approximation proximal gradient optimisation
Multivariate distribution of statistics (62H10) Computational methods in Markov chains (60J22) Bayesian inference (62F15) Computing methodologies for image processing (68U10) Numerical analysis or methods applied to Markov chains (65C40) Approximations to statistical distributions (nonasymptotic) (62E17) Empirical decision procedures; empirical Bayes procedures (62C12) Approximation algorithms (68W25) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Numerical solution to inverse problems in abstract spaces (65J22)
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