LFNet : A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution
The low spatial resolution of light-field image poses significant difficulties in exploiting its advantage. To mitigate the dependency of accurate depth or disparity information as priors for light-field image super-resolution, we propose an implicitly multi-scale fusion scheme to accumulate context...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 9 vom: 01. Sept., Seite 4274-4286
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| 1. Verfasser: |
Wang, Yunlong
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Fei,
Zhang, Kunbo,
Hou, Guangqi,
Sun, Zhenan,
Tan, Tieniu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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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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