Computational imaging based on single-photon detection: a survey

The rapid advancements in single-photon detectors with picosecond timing resolution over the past decade have significantly driven the development of time-correlated single-photon counting (TCSPC) for computational imaging applications, including bioimaging and remote sensing. In this review, we utilize the CiteSpace tool to create knowledge maps and perform a bibliometric analysis of this research area. Furthermore, we provide a comprehensive overview of the key challenges associated with computational imaging using temporal single-photon counting. We also highlight how these challenges have been addressed under extreme conditions to establish a reference model for future imaging solutions. We examine the performance evaluation parameters of single-photon detectors to enhance the understanding of detector array scaling and their application in constructing efficient computational imaging systems. Lastly, we aim to elucidate the current technical challenges in single-photon detector-based computational imaging and explore their potential future developments.

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Publication Details

Journal
Artificial Intelligence Review
Published
2025-05-23
DOI
https://doi.org/10.1007/s10462-025-11252-4
Citations
5
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
5.96

Funders

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Computational imaging based on single-photon detection: a survey

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Artificial Intelligence Review
Advanced Optical Sensing Technologies
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article

Computational imaging based on single-photon detection: a survey

Chengyuan Zhu, Gongxin Yao, Kaixiang Yang, Yanyun Pu, Qinmin Yang, Chao Li, Yu Pan
article en
5 citations

Abstract

The rapid advancements in single-photon detectors with picosecond timing resolution over the past decade have significantly driven the development of time-correlated single-photon counting (TCSPC) for computational imaging applications, including bioimaging and remote sensing. In this review, we utilize the CiteSpace tool to create knowledge maps and perform a bibliometric analysis of this research area. Furthermore, we provide a comprehensive overview of the key challenges associated with computational imaging using temporal single-photon counting. We also highlight how these challenges have been addressed under extreme conditions to establish a reference model for future imaging solutions. We examine the performance evaluation parameters of single-photon detectors to enhance the understanding of detector array scaling and their application in constructing efficient computational imaging systems. Lastly, we aim to elucidate the current technical challenges in single-photon detector-based computational imaging and explore their potential future developments.

Artificial Intelligence ReviewVol. 58(8)
ZheJiang Institute For Food and Drug Control (CN), Zhejiang University of Technology (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Guangzhou Municipal Science and Technology Project, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 4%
Advanced Optical Sensing Technologies
5.96
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