Learning-based real-time imaging through dynamic scattering media

IF 20.6 Q1 OPTICS Light-Science & Applications Pub Date : 2024-08-16 DOI:10.1038/s41377-024-01569-0
Haishan Liu, Fei Wang, Ying Jin, Xianzheng Ma, Siteng Li, Yaoming Bian, Guohai Situ
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Abstract

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.

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通过动态散射介质进行基于学习的实时成像
通过动态散射介质成像是光学领域最具挑战性而又最吸引人的问题之一,其应用范围从生物检测到遥感都有。在这项研究中,我们提出了一种基于学习的综合技术,该技术有助于通过密集的动态散射介质对现实世界中的物体进行实时、非侵入式、非相干成像。我们进行了大量实验,证明我们的技术能够看穿浑浊的水和自然雾。实验结果表明,所提出的技术在许多方面都超越了现有方法,在广泛的学科成像应用中具有巨大潜力。
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来源期刊
Light-Science & Applications
Light-Science & Applications 数理科学, 物理学I, 光学, 凝聚态物性 II :电子结构、电学、磁学和光学性质, 无机非金属材料, 无机非金属类光电信息与功能材料, 工程与材料, 信息科学, 光学和光电子学, 光学和光电子材料, 非线性光学与量子光学
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