TY - GEN
T1 - Speckle reconstruction with corruption through multimode fibers using deep learning
AU - Fan, Pengfei
AU - Ruddlesden, Michael
AU - Wang, Yufei
AU - Su, Lei
N1 - Publisher Copyright:
© OSA 2020 © 2020 The Author(s)
PY - 2020
Y1 - 2020
N2 - We present for the first time a deep learning approach toward speckle reconstruction with corruption through a multimode fiber (MMF) with a long length. Our experiments demonstrate that a small partly or randomly corrupted speckle can be reconstructed into its intact speckle over a 1km 100μm-core step-index MMF.
AB - We present for the first time a deep learning approach toward speckle reconstruction with corruption through a multimode fiber (MMF) with a long length. Our experiments demonstrate that a small partly or randomly corrupted speckle can be reconstructed into its intact speckle over a 1km 100μm-core step-index MMF.
UR - https://www.scopus.com/pages/publications/85095437605
U2 - 10.1364/CLEO_SI.2020.SM2L.4
DO - 10.1364/CLEO_SI.2020.SM2L.4
M3 - Conference Proceeding
AN - SCOPUS:85095437605
SN - 9781943580767
T3 - Optics InfoBase Conference Papers
BT - CLEO
PB - Optica Publishing Group (formerly OSA)
T2 - CLEO: Science and Innovations, CLEO_SI 2020
Y2 - 10 May 2020 through 15 May 2020
ER -