利用衍射深度神经网络,通过动态扰动多模光纤和环芯光纤进行全光图像传输。

IF 3.1 2区 物理与天体物理 Q2 OPTICS
Optics letters Pub Date : 2024-11-15 DOI:10.1364/OL.541194
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
{"title":"利用衍射深度神经网络,通过动态扰动多模光纤和环芯光纤进行全光图像传输。","authors":"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","doi":"10.1364/OL.541194","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":19540,"journal":{"name":"Optics letters","volume":"49 22","pages":"6493-6496"},"PeriodicalIF":3.1000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks.\",\"authors\":\"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\",\"doi\":\"10.1364/OL.541194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":19540,\"journal\":{\"name\":\"Optics letters\",\"volume\":\"49 22\",\"pages\":\"6493-6496\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optics letters\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1364/OL.541194\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics letters","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1364/OL.541194","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0

摘要

在这项研究中,我们利用环芯光纤(RCF)架构中的衍射深度神经网络(D2NN),提出了一种全光学图像重建技术。采用轨道角动量(OAM)模式促进成像传输。我们通过实验验证了我们的方法在 1550 nm 工作波长下通过多模光纤(MMF)和 RCF 进行复杂场衍射图像重建的功效。实验结果表明,所提出的方法在缓解 RCF 散射到复原转换问题方面性能优越,明显优于传统的基于 MMF 的成像校正技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
All-optical image transmission through a dynamically perturbed multimode fiber and a ring-core fiber using diffractive deep neural networks.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Optics letters
Optics letters 物理-光学
CiteScore
6.60
自引率
8.30%
发文量
2275
审稿时长
1.7 months
期刊介绍: The Optical Society (OSA) publishes high-quality, peer-reviewed articles in its portfolio of journals, which serve the full breadth of the optics and photonics community. Optics Letters offers rapid dissemination of new results in all areas of optics with short, original, peer-reviewed communications. Optics Letters covers the latest research in optical science, including optical measurements, optical components and devices, atmospheric optics, biomedical optics, Fourier optics, integrated optics, optical processing, optoelectronics, lasers, nonlinear optics, optical storage and holography, optical coherence, polarization, quantum electronics, ultrafast optical phenomena, photonic crystals, and fiber optics. Criteria used in determining acceptability of contributions include newsworthiness to a substantial part of the optics community and the effect of rapid publication on the research of others. This journal, published twice each month, is where readers look for the latest discoveries in optics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信