Imaging limits of ghost imaging under coupled light-field distortion and signal attenuation in scattering media

Ghost imaging (GI) under weak-light and scattering conditions remains a key challenge, and establishing a criterion to evaluate the performance limit is of great significance for applications such as biomedical imaging and autonomous driving. To this end, we propose a theoretical GI model that systematically accounts for the coupled effects of light-intensity attenuation and phase distortion. Both numerical simulations and experimental results demonstrate that the model effectively predicts imaging performance under different scattering conditions. We introduce the image signal-to-noise ratio (SNR) as a quantitative metric, and use an SNR threshold of 35% of the value obtained under strong illumination without scattering as the imaging limit. Furthermore, the influence of different scattering medium concentrations on imaging performance is analyzed, and an empirical relationship between concentration and SNR is established. The results provide a practical reference for predicting GI performance and determining imaging-limit parameters, with potential applications in biomedical imaging, autonomous driving, and other weak-light scenarios.

Authors

Institutions

Publication Details

Journal
Optics and Lasers in Engineering
Published
2026-10-07
DOI
https://doi.org/10.1016/j.optlaseng.2026.110165
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Imaging limits of ghost imaging under coupled light-field distortion and signal attenuation in scattering media

Xiquan Fu, Yanfeng Bai, Xiaohui Zhu, 南苏琴 Nan Suqin et al.
Optics and Lasers in Engineering
Random lasers and scattering media
article

Imaging limits of ghost imaging under coupled light-field distortion and signal attenuation in scattering media

Xiquan Fu, Yanfeng Bai, Xiaohui Zhu, 南苏琴 Nan Suqin, 邹璇彭凡 Zou Xuanpengfan, Kai Li, 张智兵 Zhang Zhibing, Teng Jiang, Wei Tan, Xiaoqian Liang, Xianwei Huang, Xuan Liu
article en

Abstract

Ghost imaging (GI) under weak-light and scattering conditions remains a key challenge, and establishing a criterion to evaluate the performance limit is of great significance for applications such as biomedical imaging and autonomous driving. To this end, we propose a theoretical GI model that systematically accounts for the coupled effects of light-intensity attenuation and phase distortion. Both numerical simulations and experimental results demonstrate that the model effectively predicts imaging performance under different scattering conditions. We introduce the image signal-to-noise ratio (SNR) as a quantitative metric, and use an SNR threshold of 35% of the value obtained under strong illumination without scattering as the imaging limit. Furthermore, the influence of different scattering medium concentrations on imaging performance is analyzed, and an empirical relationship between concentration and SNR is established. The results provide a practical reference for predicting GI performance and determining imaging-limit parameters, with potential applications in biomedical imaging, autonomous driving, and other weak-light scenarios.

Optics and Lasers in EngineeringVol. 208
Hunan Police Academy (CN), Hunan University (CN), Zhengzhou University of Aeronautics (CN), Changsha University (CN), Hunan Institute of Engineering (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 20%
Random lasers and scattering media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.