Image Super-resolution with Parametric Sparse Model Learning
Recovering a high-resolution (HR) image from its low-resolution (LR) version is an ill-posed inverse problem. Learning accurate prior of HR images is of great importance to solve this inverse problem. Existing super-resolution (SR) methods either learn a non-parametric image prior from training data...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 17. Mai
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| 1. Verfasser: |
Li, Yongbo
(VerfasserIn) |
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| Weitere Verfasser: |
Dong, Weisheng,
Xie, Xuemei,
Shi, Guangming,
Wu, Jinjian,
Li, Xin |
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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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