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Article Dans Une Revue Laser & Photonics Reviews Année : 2021

Image Transmission Through a Dynamically Perturbed Multimode Fiber by Deep Learning

Résumé

When multimode optical fibers are perturbed, the data that is transmitted through them is scrambled. This presents a major difficulty for many possible applications, such as multimode fiber based telecommunication and endoscopy. To overcome this challenge, a deep learning approach that generalizes over mechanical perturbations is presented. Using this approach, successful reconstruction of the input images from intensity-only measurements of speckle patterns at the output of a 1.5 m-long randomly perturbed multimode fiber is demonstrated. The model's success is explained by hidden correlations in the speckle of random fiber conformations.

Dates et versions

hal-03030409 , version 1 (30-11-2020)

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Shachar Resisi, Sébastien M. Popoff, Yaron Bromberg. Image Transmission Through a Dynamically Perturbed Multimode Fiber by Deep Learning. Laser & Photonics Reviews, 2021. ⟨hal-03030409⟩
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