Image reconstruction through a multimode fiber with a simple neural network architecture

• Main Authors: Zhu, Changyan, Chan, Eng Aik, Wang, You, Peng, Weina, Guo, Ruixiang, Zhang, Baile, Soci, Cesare, Chong, Yidong
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Physics; Applied Optics; Computer Science
• Online Access: https://hdl.handle.net/10356/146415
• Institution: Nanyang Technological University

Multimode fibers (MMFs) have the potential to carry complex images for endoscopy and related applications, but decoding the complex speckle patterns produced by mode-mixing and modal dispersion in MMFs is a serious challenge. Several groups have recently shown that convolutional neural networks (CNN...