Zhu, J., Zhu, L., Gao, R., Wang, X., Ren, J., Chen, S., Jing, Z., Li, Z., Hu, S., Tian, Q., Tian, B., Chang, H., Guo, D., Pan, X., Wu, Z., Xin, X., & Liu, B. (2024). All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks. Optics Letters, 49(22), 6493-6496. https://doi.org/10.1364/OL.541194
Zhu, Jianping ; Zhu, Lei ; Gao, Ran et al. / All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks. In: Optics Letters. 2024 ; Vol. 49, No. 22. pp. 6493-6496.
@article{a4e59d43d3a04a8fa9d709107ba8c625,
title = "All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks",
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.",
author = "Jianping Zhu and Lei Zhu and Ran Gao and Xishuo Wang and Jianxin Ren and Shuaidong Chen and Zexuan Jing and Zhipei Li and Shanting Hu and Qinghua Tian and Bo Tian and Huan Chang and Dong Guo and Xiaolong Pan and Zheyu Wu and Xiangjun Xin and Bo Liu",
year = "2024",
month = nov,
day = "15",
doi = "10.1364/OL.541194",
language = "English",
volume = "49",
pages = "6493--6496",
journal = "Optics Letters",
issn = "0146-9592",
publisher = "Optica Publishing Group",
number = "22",
}
Zhu, J, Zhu, L, Gao, R, Wang, X, Ren, J, Chen, S, Jing, Z, Li, Z, Hu, S, Tian, Q, Tian, B, Chang, H, Guo, D, Pan, X, Wu, Z, Xin, X & Liu, B 2024, 'All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks', Optics Letters, vol. 49, no. 22, pp. 6493-6496. https://doi.org/10.1364/OL.541194
All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks. / Zhu, Jianping; Zhu, Lei; Gao, Ran et al.
In:
Optics Letters, Vol. 49, No. 22, 15.11.2024, p. 6493-6496.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks
AU - Zhu, Jianping
AU - Zhu, Lei
AU - Gao, Ran
AU - Wang, Xishuo
AU - Ren, Jianxin
AU - Chen, Shuaidong
AU - Jing, Zexuan
AU - Li, Zhipei
AU - Hu, Shanting
AU - Tian, Qinghua
AU - Tian, Bo
AU - Chang, Huan
AU - Guo, Dong
AU - Pan, Xiaolong
AU - Wu, Zheyu
AU - Xin, Xiangjun
AU - Liu, Bo
PY - 2024/11/15
Y1 - 2024/11/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85209704341&partnerID=8YFLogxK
U2 - 10.1364/OL.541194
DO - 10.1364/OL.541194
M3 - Article
C2 - 39546701
AN - SCOPUS:85209704341
SN - 0146-9592
VL - 49
SP - 6493
EP - 6496
JO - Optics Letters
JF - Optics Letters
IS - 22
ER -
Zhu J, Zhu L, Gao R, Wang X, Ren J, Chen S et al. All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks. Optics Letters. 2024 Nov 15;49(22):6493-6496. doi: 10.1364/OL.541194