量子电子学报2025，Vol.42Issue(6)：770-778,9.DOI:10.3969/j.issn.1007-5461.2025.06.004
远距离单光子快速成像算法
Long-distance single-photon fast imaging algorithm
摘要
Abstract
Single-photon detection has been used in the field of long-distance three-dimensional imaging.However,due to the low number of echo photons and high background noise,long-distance single-photon imaging faces challenges such as image blurring and long imaging time.To address this issue,based on the existing long-distance single-photon imaging models,a long-distance computational imaging algorithm with high photon efficiency and faster imaging speed is proposed in this work,and the simulated comparative experiments at different noise levels are conducted.The results show that,compared with the current state-of-the-art methods,the proposed algorithm can significantly shorten the imaging time,especially under the conditions of low signal-to-background ratio and a photon count of approximately 1.In a real 45 km distance scenario,using the proposed algorithm,the root mean square error(ERMS)of the depth reconstruction map is 1.16 m,and the reconstruction time is 1.38 s.关键词
量子光学/远距离成像/泊松过程/单光子探测/实时成像/深度重建Key words
quantum optics/long-distance imaging/Poisson process/single-photon detection/real-time imaging/depth reconstruction分类
电子信息工程引用本文复制引用
郎昌财,刘尉悦..远距离单光子快速成像算法[J].量子电子学报,2025,42(6):770-778,9.基金项目
浙江省自然科学基金(LY21F050003) （LY21F050003）
