Meta-Learning-Based Degradation Representation for Blind Super-Resolution
Blind image super-resolution (blind SR) aims to generate high-resolution (HR) images from low-resolution (LR) input images with unknown degradations. To enhance the performance of SR, the majority of blind SR methods introduce an explicit degradation estimator, which helps the SR model adjust to unk...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 12., Seite 3383-3396
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| 1. Verfasser: |
Xia, Bin
(VerfasserIn) |
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| Weitere Verfasser: |
Tian, Yapeng,
Zhang, Yulun,
Hang, Yucheng,
Yang, Wenming,
Liao, Qingmin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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