Complex amplitude field reconstruction in atmospheric turbulence based on deep learning
In this paper, we use deep neural networks (DNNs) to simultaneously reconstruct the amplitude and phase information of the complex light field transmitted in atmospheric turbulence based on deep learning. The results of amplitude and phase reconstruction by four different training methods are compar...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Optica Publishing Group (formerly OSA)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |