Semi-Supervised Image Dehazing
We present an effective semi-supervised learning algorithm for single image dehazing. The proposed algorithm applies a deep Convolutional Neural Network (CNN) containing a supervised learning branch and an unsupervised learning branch. In the supervised branch, the deep neural network is constrained...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 15. Nov.
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| 1. Verfasser: |
Li, Lerenhan
(VerfasserIn) |
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| Weitere Verfasser: |
Dong, Yunlong,
Ren, Wenqi,
Pan, Jinshan,
Gao, Changxin,
Sang, Nong,
Yang, Ming-Hsuan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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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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