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Deep-learning-based ghost imaging
In this manuscript, we propose a novel framework of computational ghost imaging, i.e., ghost imaging using deep learning (GIDL). With a set of images reconstructed using traditional GI and the corresponding ground-truth counterparts, a deep neural network was trained so that it can learn the sensing...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5736587/ https://ncbi.nlm.nih.gov/pubmed/29259269 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-18171-7 |
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