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Joint Super-Resolution and segmentation from a set of Low Resolution images using a Bayesian approach with a Gauss-Markov-Potts Prior

Majdi Mansouri 1 Ali Mohammad-Djafari 2
1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
ICD - Institut Charles Delaunay
2 L2S - Laboratoire des signaux et systèmes
Mots-clés : super-resolution
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Journal articles
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https://hal-supelec.archives-ouvertes.fr/hal-00658306
Contributor : Ali Mohammad-Djafari <>
Submitted on : Tuesday, January 10, 2012 - 11:31:02 AM
Last modification on : Wednesday, September 16, 2020 - 4:42:48 PM

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Majdi Mansouri, Ali Mohammad-Djafari. Joint Super-Resolution and segmentation from a set of Low Resolution images using a Bayesian approach with a Gauss-Markov-Potts Prior. International Journal of Signal and Imaging Systems Engineering, Inderscience 2010, 3 (4), pp.211-221. ⟨10.1504/IJSISE.2010.038017⟩. ⟨hal-00658306⟩

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