Image transmission through a flexible multimode fiber by deep learning
Image and Video Processing
2022-02-17 v2 Medical Physics
Optics
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.
Keywords
Cite
@article{arxiv.2011.05144,
title = {Image transmission through a flexible multimode fiber by deep learning},
author = {Shachar Resisi and Sebastien M. Popoff and Yaron Bromberg},
journal= {arXiv preprint arXiv:2011.05144},
year = {2022}
}