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arXiv · 2011.05144

Image transmission through a flexible multimode fiber by deep learning

Shachar Resisi·Sebastien M. Popoff·Yaron Bromberg
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Abstract

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 meter-long randomly perturbed multimode fiber is demonstrated. The model's success is explained by hidden correlations in the speckle of random fiber conformations.

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Shachar Resisi, Sebastien M. Popoff, Yaron Bromberg. 2020-11-08. Image transmission through a flexible multimode fiber by deep learning. https://doi.org/10.1002/lpor.202000553

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