All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks
Jianping Zhu, Lei Zhu, Ran Gao, Xishuo Wang, Jianxin Ren, Shuaidong Chen, Zexuan Jing, Zhipei Li, Shanting Hu, Qinghua Tian, Bo Tian, Huan Chang, Dong Guo, Xiaolong Pan, Zheyu Wu, Xiangjun Xin, Bo Liu
Abstract
In this study, we present an all-optical image reconstruction technique leveraging a diffractive deep neural network (D2NN) within a ring-core fiber (RCF) architecture. Orbital angular momentum (OAM) modes are employed to facilitate imaging transmission. We experimentally validate the efficacy of our approach for complex field diffractive image reconstruction through a multimode fiber (MMF) and RCF at a 1550 nm operating wavelength. The experimental results demonstrate the superior performance of the proposed method in mitigating RCF scattering-to-restoration transformation issues, significantly outperforming traditional MMF-based imaging correction techniques.