Noisy-As-Clean : Learning Self-supervised Denoising from Corrupted Image
Supervised deep networks have achieved promising performance on image denoising, by learning image priors and noise statistics on plenty pairs of noisy and clean images. Unsupervised denoising networks are trained with only noisy images. However, for an unseen corrupted image, both supervised and un...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2020) vom: 30. Sept.
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| 1. Verfasser: |
Xu, Jun
(VerfasserIn) |
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| Weitere Verfasser: |
Huang, Yuan,
Cheng, Ming-Ming,
Liu, Li,
Zhu, Fan,
Xu, Zhou,
Shao, Ling |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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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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