A Bayesian Nonparametric Approach to Image Super-Resolution
Super-resolution methods form high-resolution images from low-resolution images. In this paper, we develop a new Bayesian nonparametric model for super-resolution. Our method uses a beta-Bernoulli process to learn a set of recurring visual patterns, called dictionary elements, from the data. Because...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 2 vom: 01. Feb., Seite 346-58
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| 1. Verfasser: |
Polatkan, Gungor
(VerfasserIn) |
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| Weitere Verfasser: |
Zhou, Mingyuan,
Carin, Lawrence,
Blei, David,
Daubechies, Ingrid |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2015
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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