Learning-based real-time imaging through dynamic scattering media

被引:9
|
作者
Liu, Haishan [1 ,2 ]
Wang, Fei [1 ]
Jin, Ying [1 ]
Ma, Xianzheng [3 ]
Li, Siteng [1 ]
Bian, Yaoming [1 ]
Situ, Guohai [1 ,2 ,4 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Shanghai 201800, Peoples R China
[2] Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China
[3] Univ Oxford, Dept Engn Sci, Oxford, England
[4] Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Hangzhou 310024, Peoples R China
基金
中国国家自然科学基金;
关键词
SPECKLE CORRELATION; DEEP; COHERENT;
D O I
10.1038/s41377-024-01569-0
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Imaging through dynamic scattering media is one of the most challenging yet fascinating problems in optics, with applications spanning from biological detection to remote sensing. In this study, we propose a comprehensive learning-based technique that facilitates real-time, non-invasive, incoherent imaging of real-world objects through dense and dynamic scattering media. We conduct extensive experiments, demonstrating the capability of our technique to see through turbid water and natural fog. The experimental results indicate that the proposed technique surpasses existing approaches in numerous aspects and holds significant potential for imaging applications across a broad spectrum of disciplines.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models
    Calvo-Olivera, Carmen
    Guerrero-Higueras, angel Manuel
    Lorenzana, Jesus
    Garcia-Ortega, Eduardo
    WATER RESOURCES MANAGEMENT, 2024, 38 (07) : 2455 - 2470
  • [22] Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models
    Carmen Calvo-Olivera
    Ángel Manuel Guerrero-Higueras
    Jesús Lorenzana
    Eduardo García-Ortega
    Water Resources Management, 2024, 38 : 2455 - 2470
  • [23] Real-time full-field imaging through scattering media by all-optical feedback
    Chriki, Ronen
    Mahler, Simon
    Tradonsky, Chene
    Friesem, Asher A.
    Davidson, Nir
    PHYSICAL REVIEW A, 2022, 105 (03)
  • [24] Machine learning-based real-time daylight analysis in buildings
    Luan Le-Thanh
    Ha Nguyen-Thi-Viet
    Lee, Jaehong
    Nguyen-Xuan, H.
    JOURNAL OF BUILDING ENGINEERING, 2022, 52
  • [25] A Deep Learning-Based Real-time Seizure Detection System
    Shawki, N.
    Elseify, T.
    Cap, T.
    Shah, V
    Obeid, I
    Picone, J.
    2020 IEEE SIGNAL PROCESSING IN MEDICINE AND BIOLOGY SYMPOSIUM, 2020,
  • [26] Real-Time Deep Learning-Based Object Detection Framework
    Tarimo, William
    Sabra, Moustafa M.
    Hendre, Shonan
    2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, : 1829 - 1836
  • [27] Real-time Learning-based Monitoring System for Water Contamination
    Chen, Qi
    Cheng, Guanghua
    Fang, Yajun
    Liu, Yang
    Zhang, Zejun
    Gao, Yiyang
    Horn, Berthold K. P.
    2018 4TH INTERNATIONAL CONFERENCE ON UNIVERSAL VILLAGE (IEEE UV 2018): HUMANKIND IN HARMONY WITH NATURE THROUGH WISE USE OF TECHNOLOGY, 2018,
  • [28] Machine Learning-Based Real-Time Indoor Landmark Localization
    Zhao, Zhongliang
    Carrera, Jose
    Niklaus, Joel
    Braun, Torsten
    WIRED/WIRELESS INTERNET COMMUNICATIONS (WWIC 2018), 2018, 10866 : 95 - 106
  • [29] A Deep Learning-based Approach for Real-time Facemask Detection
    Boulila, Wadii
    Alzahem, Ayyub
    Almoudi, Aseel
    Afifi, Muhanad
    Alturki, Ibrahim
    Driss, Maha
    20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021), 2021, : 1478 - 1481
  • [30] Learning-Based Modeling and Optimization for Real-Time System Availability
    Li, Liying
    Zhou, Junlong
    Wei, Tongquan
    Chen, Mingsong
    Hu, Xiaobo Sharon
    IEEE TRANSACTIONS ON COMPUTERS, 2021, 70 (04) : 581 - 594