DCT Regularized Extreme Visual Recovery
Here we study the extreme visual recovery problem, in which over 90% of pixel values in a given image are missing. Existing low rank-based algorithms are only effective for recovering data with at most 90% missing values. Thus, we exploit visual data's smoothness property to help solve this cha...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 7 vom: 13. Juli, Seite 3360-3371
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| 1. Verfasser: |
Wang, Yunhe
(VerfasserIn) |
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| Weitere Verfasser: |
Xu, Chang,
You, Shan,
Xu, Chao,
Tao, Dacheng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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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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