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conference paper
Deep learning assisted image transmission in multimode fibers
January 1, 2019
Adaptive Optics And Wavefront Control For Biological Systems V
We propose a data -driven approach for light transmission control inside multimode fibers (MMFs). Specifically, we show that a convolutional neural network is able to reconstruct amplitude/phase modulated images from scrambled amplitude -only images obtained at the output of a 0.75m long MMF with a fidelity (correlation) as high as 98%. We show that the trained network shows good generalization as well. In particular, it is shown that the network is able to reconstruct images that do not belong to train/test datasets.
Type
conference paper
Web of Science ID
WOS:000484806700006
Authors
Publication date
2019-01-01
Publisher
Published in
Adaptive Optics And Wavefront Control For Biological Systems V
ISBN of the book
978-1-5106-2414-6
978-1-5106-2415-3
Publisher place
Bellingham
Series title/Series vol.
Proceedings of SPIE
Volume
10886
Start page
108860N
Peer reviewed
REVIEWED
Event name | Event place | Event date |
San Francisco, CA | Feb 03-04, 2019 | |
Available on Infoscience
September 26, 2019
Use this identifier to reference this record