Progressive image denoising through hybrid graph Laplacian regularization : a unified framework
Recovering images from corrupted observations is necessary for many real-world applications. In this paper, we propose a unified framework to perform progressive image recovery based on hybrid graph Laplacian regularized regression. We first construct a multiscale representation of the target image...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 4 vom: 11. Apr., Seite 1491-503
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| 1. Verfasser: |
Liu, Xianming
(VerfasserIn) |
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| Weitere Verfasser: |
Zhai, Deming,
Zhao, Debin,
Zhai, Guangtao,
Gao, Wen |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2014
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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