Non-Iterative Holographic Image Reconstruction And Phase Retrieval Using A Deep Convolutional Neural Network

2018 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)(2018)

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摘要
We demonstrate a non-iterative holographic image reconstruction and phase retrieval framework based on deep learning. After its training, a deep convolutional neural network rapidly recovers phase and amplitude images of specimen from a single hologram.
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关键词
amplitude images,noniterative holographic image reconstruction,deep convolutional neural network,phase retrieval framework,deep learning
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