Generative Bayesian image super resolution with natural image prior
We propose a new single image super resolution (SR) algorithm via Bayesian modeling with a natural image prior modeled by a high-order Markov random field (MRF). SR is one of the long-standing and active topics in image processing community. It is of great use in many practical applications, such as...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 9 vom: 07. Sept., Seite 4054-67
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| Auteur principal: |
Zhang, Haichao
(Auteur) |
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| Autres auteurs: |
Zhang, Yanning,
Li, Haisen,
Huang, Thomas S |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2012
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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