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  • Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
  • OSA Technical Digest (Optica Publishing Group, 2018),
  • paper DTh1C.1
  • https://doi.org/10.1364/DH.2018.DTh1C.1

Deep Neural Network-Based Phase-Recovery and Auto-Focusing Extend the Depth-of-Field in Digital Holography

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Abstract

A deep convolutional neural network simultaneously performs auto-focusing and phase-recovery using a single hologram intensity, and achieves >25-fold and >30-fold increase in depth-of-field and reconstruction speed of digital holographic imaging, respectively.

© 2018 The Author(s)

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