most citedPhase recovery and holographic image reconstruction using deep learning in neural networks

1.1k citations · 2.2k across the 4 of their papers we have counts for

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cs.CV2018★ 329 cited

Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery

Yichen Wu, Yair Rivenson, Yibo Zhang +4

Holography encodes the three dimensional (3D) information of a sample in the form of an intensity-only recording. However, to decode the original sample image from its hologram(s),…

cs.CV2017★ 1.1k cited

Phase recovery and holographic image reconstruction using deep learning in neural networks

Yair Rivenson, Yibo Zhang, Harun Gunaydin +2

Phase recovery from intensity-only measurements forms the heart of coherent imaging techniques and holography. Here we demonstrate that a neural network can learn to perform phase…