Learning Temporal Dynamics for Video Super-Resolution : A Deep Learning Approach
Video super-resolution (SR) aims at estimating a high-resolution (HR) video sequence from a low-resolution (LR) one. Given that deep learning has been successfully applied to the task of single image SR, which demonstrates the strong capability of neural networks for modeling spatial relation within...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 30. März
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| 1. Verfasser: |
Liu, Ding
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Zhaowen,
Fan, Yuchen,
Liu, Xianming,
Wang, Zhangyang,
Chang, Shiyu,
Wang, Xinchao,
Huang, Thomas S |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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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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