Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117458
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Title: High-quality photon-limited imaging through dynamic and complex scattering media with a single-photon detector
Authors: Hao, Y 
Peng, Y 
Zhang, T 
Chen, W 
Issue Date: Oct-2025
Source: APL photonics, Oct. 2025, v. 10, no. 10, 106119
Abstract: Recent advances in single-photon detectors have enabled low-light detection in diverse applications ranging from biological imaging to astronomy. However, it remains a challenge to realizing high-quality optical imaging through dynamic and complex scattering media under photon-limited conditions. In this paper, we report high-quality photon-limited imaging through dynamic and complex scattering media using a single-photon detector. To eliminate a series of dynamic scaling factors induced by complex scattering in dynamic media, an iterative algorithm is developed to retrieve an estimated object image and a series of corrected measurements, revealing a correlation relationship between the illumination patterns and corrected measurements. Then, the estimated object image and corrected measurements are fed to an untrained neural network powered by regularization with denoising for quality enhancement. Experimental results demonstrate that the proposed method can be applied to implement high-quality photon-limited imaging through complex scattering media at low-light levels. This work opens up an avenue for exploring photon-limited imaging in challenging environments with a single-photon detector.
Publisher: AIP Publishing LLC
Journal: APL photonics 
EISSN: 2378-0967
DOI: 10.1063/5.0293168
Rights: © 2025 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Yining Hao, Yang Peng, Tianshun Zhang, Wen Chen; High-quality photon-limited imaging through dynamic and complex scattering media with a single-photon detector. APL Photonics 1 October 2025; 10 (10): 106119 is available at https://doi.org/10.1063/5.0293168.
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