Citation:
Resisi, S., Popoff, S.M. & Bromberg, Y. Image Transmission Through a Dynamically Perturbed Multimode Fiber by Deep Learning. Laser & Photonics Reviews 2000553 (2021).
Abstract:
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 m-long randomly perturbed multimode fiber is demonstrated. The model’s success is explained by hidden correlations in the speckle of random fiber conformations.