TY - GEN
T1 - Deep neural network-based phase-recovery and auto- focusing extend the depth-of-field in digital holography
AU - Wu, Yichen
AU - Rivenson, Yair
AU - Zhang, Yibo
AU - Wei, Zhensong
AU - Gunaydin, Harun
AU - Lin, Xing
AU - Ozcan, Aydogan
N1 - Publisher Copyright:
© 2018 The Author(s).
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85051253927
U2 - 10.1364/DH.2018.DTh1C.1
DO - 10.1364/DH.2018.DTh1C.1
M3 - Conference contribution
AN - SCOPUS:85051253927
SN - 9781943580446
T3 - Optics InfoBase Conference Papers
BT - Digital Holography and Three-Dimensional Imaging, DH 2018
PB - Optica Publishing Group (formerly OSA)
T2 - Digital Holography and Three-Dimensional Imaging, DH 2018
Y2 - 25 June 2018 through 28 June 2018
ER -