高空间分辨率关联成像技术研究

doi:10.3969/j.issn.1007-5461.2022.04.009

量子电子学报 ›› 2022, Vol. 39 ›› Issue (4): 549-557.doi: 10.3969/j.issn.1007-5461.2022.04.009

高空间分辨率关联成像技术研究

李能菲1, 黄见2,3∗

( 1 安徽职业技术学院机电工程学院, 安徽合肥230011; 2 中国科学院合肥物质科学研究院安徽光学精密机械研究所, 中国科学院大气光学重点实验室, 安徽合肥230031; 3 先进激光技术安徽省实验室, 安徽合肥230031 )

收稿日期:2021-10-27 修回日期:2021-12-17 出版日期:2022-07-28 发布日期:2022-07-28
通讯作者: E-mail: jhuang@aiofm.ac.cn E-mail:E-mail: jhuang@aiofm.ac.cn
作者简介:李能菲( 1983 - ), 女, 安徽太湖人, 硕士, 讲师, 主要从事机电控制与光学成像方面的研究。E-mail: linengfei2015@163.com
基金资助:
Supported by Foundation of Key Laboratory of Science and Technology Innovation of Chinese Academy of Sciences (中国科学院科技创新重点实验室基金, CXJJ-20S028), National Natural Science Foundation of China (国家自然科学基金, U20A20214), 安徽省质量工程项目 (2020mooc254)

Research on high spatial resolution ghost imaging technology

LI Nengfei1, HUANG Jian2,3∗

( 1 Department of Mechanical and Electrical Engineering, Anhui Vocational and Technical College, Hefei 230011, China; 2 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; 3 Advanced Laser Technology Laboratory of Anhui Province, Hefei 230031, China )

Received:2021-10-27 Revised:2021-12-17 Published:2022-07-28 Online:2022-07-28

摘要/Abstract

摘要： 关联成像受限于成像机制, 其空间分辨率与时间分辨率相互制约。成像空间分辨率越高, 所需的调制散斑越多, 对应的采集时间越长。针对此瓶颈, 提出采用多个低空间分辨率散斑同时对高空间分辨率物体调制的关联成像方法, 利用单像素探测器接收被调制物体信号, 并基于迭代算法与压缩感知算法重构高空间分辨率成像物体图像。利用数值仿真验证了所提方法的有效性。研究结果表明, 所实现的高空间分辨率关联成像技术大幅降低了调制散斑数量, 减少了在线采样时间, 在生物医学等要求高空间分辨率且对采样时间苛刻的领域具有重要的应用价值。

关键词: 量子光学, 关联成像, 压缩感知, 迭代算法, 高空间分辨率成像

Abstract: Limited by the imaging mechanism, the spatial resolution and temporal resolution of ghost imaging are mutually restricted. If the spatial resolution is higher, more modulation patterns are required, so the longer acquisition time is consumed. Aiming at this bottleneck, a method using multiple low spatial resolution patterns to simultaneously modulate high spatial resolution object is applied, a single-pixel detector is employed to collect the corresponding backscattered signal, and the iterative algorithms and compressed sensing algorithms are employed to construct the high spatial resolution image of the imaging object. The effectiveness of the proposed method is verified by numerical simulations. It is shown that the high spatial resolution ghost imaging technology implemented here can greatly reduce the number of modulated patterns as well as the online sampling time. Therefore, it is believed that the method has important application value in biomedicine and other fields which require high spatial resolution and less sampling time.

Key words: quantum optics, ghost imaging, compressed sensing, iterative algorithms, high spatial resolution imaging

中图分类号:

O431.2

李能菲, 黄见, ∗. 高空间分辨率关联成像技术研究[J]. 量子电子学报, 2022, 39(4): 549-557.

LI Nengfei, HUANG Jian, ∗. Research on high spatial resolution ghost imaging technology[J]. Chinese Journal of Quantum Electronics, 2022, 39(4): 549-557.

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高空间分辨率关联成像技术研究

Research on high spatial resolution ghost imaging technology

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