Zero-Shot Image Dehazing
In this paper, we study two less-touched challenging problems in single image dehazing neural networks, namely, how to remove haze from a given image in an unsupervised and zeroshot manner. To the ends, we propose a novel method based on the idea of layer disentanglement by viewing a hazy image as t...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2020) vom: 18. Aug.
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| 1. Verfasser: |
Li, Boyun
(VerfasserIn) |
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| Weitere Verfasser: |
Gou, Yuanbiao,
Liu, Jerry Zitao,
Zhu, Hongyuan,
Zhou, Joey Tianyi,
Peng, Xi |
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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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