Liu Haishan, Wang Fei, Jin Ying, Ma Xianzheng, Li Siteng, Bian Yaoming, Situ Guohai
Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China.
Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, 100049, Beijing, China.
Light Sci Appl. 2024 Aug 16;13(1):194. doi: 10.1038/s41377-024-01569-0.
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.
通过动态散射介质进行成像，是光学领域最具挑战性但又极具吸引力的问题之一，其应用涵盖从生物检测到遥感等多个方面。在本研究中，我们提出了一种基于综合学习的技术，该技术有助于通过密集且动态的散射介质对现实世界物体进行实时、非侵入性、非相干成像。我们进行了广泛的实验，证明了我们的技术能够穿透浑浊的水和自然雾。实验结果表明，所提出的技术在许多方面超越了现有方法，在广泛的学科领域的成像应用中具有巨大潜力。
