Tensor Completion via Complementary Global, Local, and Nonlocal Priors
Completing missing entries in multidimensional visual data is a typical ill-posed problem that requires appropriate exploitation of prior information of the underlying data. Commonly used priors can be roughly categorized into three classes: global tensor low-rankness, local properties, and nonlocal...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 12., Seite 984-999
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| 1. Verfasser: |
Zhao, Xi-Le
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Jing-Hua,
Ma, Tian-Hui,
Jiang, Tai-Xiang,
Ng, Michael K,
Huang, Ting-Zhu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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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 |
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