Image Classification and Reconstruction through Multimode Fibers by Deep Neural Networks

E. Kakkava; N. Borhani; Y. Pu; C. Moser; D. Psaltis

doi:10.1364/CLEOPR.2018.Th5A.2

CLEO Pacific Rim Conference 2018
OSA Technical Digest (Optica Publishing Group, 2018),
paper Th5A.2
•https://doi.org/10.1364/CLEOPR.2018.Th5A.2

Image Classification and Reconstruction through Multimode Fibers by Deep Neural Networks

E. Kakkava, N. Borhani, Y. Pu, C. Moser, and D. Psaltis

Conference on Lasers and Electro-Optics/Pacific Rim 2018

Hong Kong China
29 July–3 August 2018
ISBN: 978-1-943580-45-3

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E. Kakkava, N. Borhani, Y. Pu, C. Moser, and D. Psaltis, "Image Classification and Reconstruction through Multimode Fibers by Deep Neural Networks," in CLEO Pacific Rim Conference 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Th5A.2.

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Abstract

A VGG-type classifier and a U-net deep neural network were used to classify and restore the input image on a multimode fiber from the intensity only image of the speckle pattern at the output.

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