Residual Dense Network for Image Restoration
Recently, deep convolutional neural network (CNN) has achieved great success for image restoration (IR) and provided hierarchical features at the same time. However, most deep CNN based IR models do not make full use of the hierarchical features from the original low-quality images; thereby, resulti...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 7 vom: 27. Juli, Seite 2480-2495
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| 1. Verfasser: |
Zhang, Yulun
(VerfasserIn) |
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| Weitere Verfasser: |
Tian, Yapeng,
Kong, Yu,
Zhong, Bineng,
Fu, Yun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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