Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/119679
Title: Diffusion-powered plug-and-play reconstruction for full-color ghost imaging through dynamic scattering media
Authors: Song, Q 
Xu, Z 
Liu, QH
Chen, W 
Issue Date: 6-Apr-2026
Source: Applied physics letters, 6 Apr. 2026, v. 128, no. 14, 141108
Abstract: Color imaging through dynamic scattering media is challenging. Although ghost imaging (GI) has been studied, the distorted single-pixel measurements hinder high-fidelity reconstruction. Here, we report a full-color GI framework that eliminates wave distortions caused by dynamic scattering media to achieve high-quality reconstruction. A convolution-based polynomial estimation method is designed to estimate and correct dynamic scaling factors. Then, a diffusion-powered plug-and-play algorithm is designed and applied, using a pre-trained diffusion prior to regularizing chromatic structures with a GI-based physical model to maintain data consistency. Experiments are conducted to demonstrate that the developed full-color GI framework exhibits high robustness and superior performance, always achieving high-fidelity reconstruction in dynamic scattering environments. Our method provides a promising solution for full-color GI in harsh environments, showing excellent stability and application potentials.
Publisher: American Institute of Physics
Journal: Applied physics letters 
ISSN: 0003-6951
EISSN: 1077-3118
DOI: 10.1063/5.0320982
Rights: © 2026 Author(s). Published under an exclusive license by AIP Publishing.
This is the accepted version of the publication.
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Song, Q., Xu, Z., Liu, Q. H., & Chen, W. (2026). Diffusion-powered plug-and-play reconstruction for full-color ghost imaging through dynamic scattering media. Applied Physics Letters, 128(14), 141108 and may be found at https://doi.org/10.1063/5.0320982.
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