Random lasers and scattering media Peer reviewed

Imaging a hidden object in time-varying scattering media with a single-pixel detector

Zhihan Xu, Zian Wang, Tianshun Zhang, Yin Xiao and 1 more

Applied Physics Letters | Jul 6, 2026

Abstract

Abstract

Imaging with a single-pixel detector is challenging, when an object is hidden in time-varying scattering media. The correlation between illumination patterns and collected single-pixel light intensities is severely destroyed. In this Letter, we report high-fidelity correspondence imaging of a hidden object in time-varying scattering media. A real-valued noiselet matrix with orthonormal columns is generated and applied to offer high robustness against scattering media. To eliminate dynamic scaling factors, the collected single-pixel light intensities are corrected by using a sequence of estimated expectations. Then, an untrained neural network is designed and fine-tuned to recover a high-quality object image without any datasets and labels. It is validated in experiments that our method can always achieve high-quality reconstruction of an object hidden in time-varying scattering media with light disturbances. This work could pave the way for high-quality imaging of an object hidden in complex media.

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Authors

Researchers on this paper

Zhihan Xu

first | Hong Kong Polytechnic University | ORCID 0000-0002-7278-7944

Zian Wang

middle | Hong Kong Polytechnic University | ORCID 0009-0007-1877-5831

Tianshun Zhang

middle | Hong Kong Polytechnic University | ORCID 0000-0002-8462-7315

Yin Xiao

middle | Hong Kong Polytechnic University | ORCID 0000-0002-2267-0553

Wen Chen

last | Hong Kong Polytechnic University | ORCID 0000-0002-3258-7278

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Citation

BibTeX

@article{Xu2026Imaging,
  title = {Imaging a hidden object in time-varying scattering media with a single-pixel detector},
  author = {Zhihan Xu and Zian Wang and Tianshun Zhang and Yin Xiao and Wen Chen},
  journal = {Applied Physics Letters},
  year = {2026},
  doi = {10.1063/5.0340962},
  url = {https://doi.org/10.1063/5.0340962}
}

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