Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach-Reference-Cited by-同舟云学术

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Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach

Published:2024-06-19 Issue:2 Volume:17 Page:1206-1254
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Mbakam Charlesquin Kemajou¹^ORCID,Pereyra Marcelo¹^ORCID,Giovannelli Jean-François²

Affiliation:

1. Maxwell Institute for Mathematical Sciences and School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.

2. Laboratoire d’Intégration du Matériau au Système (CNRS–ENSEIRB–Univ. Bordeaux 1–ENSCPB), 351 cours de la Liberation, 33405 Talence, France.

Funder

Engineering and Physical Sciences Research Council

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference57 articles.

1. Fast Image Recovery Using Variable Splitting and Constrained Optimization

2. Blind and Semi-Blind Deblurring of Natural Images

3. Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures

4. Variational Bayesian Super Resolution

5. Image Deblurring in the Presence of Impulsive Noise

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