Learning-based real-time imaging through dynamic scattering media
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.
Authors
- Xianzheng Ma
- Haishan Liu (ORCID: https://orcid.org/0000-0001-5620-5898)
- Yaoming Bian (ORCID: https://orcid.org/0009-0005-7620-8830)
- Ying Jin (ORCID: https://orcid.org/0000-0002-4840-005X)
- Guohai Situ (ORCID: https://orcid.org/0000-0002-9276-3288)
- Siteng Li (ORCID: https://orcid.org/0000-0003-0103-1055)
- Fei Wang (ORCID: https://orcid.org/0000-0003-3462-8472)
Institutions
- Chinese Academy of Sciences (CN)
- University of Oxford (GB)
- Shanghai Institute of Optics and Fine Mechanics (CN)
- Institute for Advanced Study (DE)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Light Science & Applications
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1038/s41377-024-01569-0
- Citations
- 61
- Primary Topic
- Random lasers and scattering media
- Type
- article
- Field-Weighted Citation Impact
- 16.91
Funders
- National Natural Science Foundation of China
- Program of Shanghai Academic Research Leader