关联成像算法研究进展

doi:10.3969/j.issn.1007-5461.2022.06.004

量子电子学报 ›› 2022, Vol. 39 ›› Issue (6): 863-879.doi: 10.3969/j.issn.1007-5461.2022.06.004

• "光电探测与成像新技术及应用"专辑 • 上一篇下一篇

关联成像算法研究进展

林惠祖,刘伟涛,孙帅,杜隆坤,常宸,李月刚

( 1 国防科技大学理学院, 湖南长沙 410073; 2 国防科技大学量子信息学科交叉中心, 湖南长沙 410073; 3 北京邮电大学电子工程学院, 北京 100876 )

收稿日期:2022-03-03 修回日期:2022-04-24 出版日期:2022-11-28 发布日期:2022-12-14
通讯作者: E-mail: linhuizu2@126.com; wtliu@nudt.edu.cn E-mail:E-mail: linhuizu2@126.com; wtliu@nudt.edu.cn
作者简介:林惠祖 ( 1985 - ), 福建漳州人, 博士, 副研究员, 主要从事量子成像方面的研究。 E-mail: linhuizu2@126.com
基金资助:
Supported by National Natural Science Foundation of China (国家自然科学基金, 11774431, 62105365), Basic Enhancement Program of Major Research Plan (重点研发计划基础加强项目, 2019-JCJQ-ZD-007-00-05)

Progress of algorithms used in ghost imaging

LIN Huizu 1,2∗ , LIU Weitao 1,2∗ , SUN Shuai 1,2 , DU Longkun 1,2 , CHANG Chen 1,2,3 , LI Yuegang 1,2

( 1 College of Science, National University of Defense Technology, Changsha 410073, China; 2 Interdisciplinary Center of Quantum Information, National University of Defense Technology, Changsha 410073, China; 3 School of Electronic Engineering Beijing University of Posts and Telecommunications, Beijing 100876, China )

Received:2022-03-03 Revised:2022-04-24 Published:2022-11-28 Online:2022-12-14

摘要/Abstract

摘要： 光学成像是人们获取信息最重要的技术手段之一。关联成像作为一种基于光场高阶关联发展起来的新技术，利用单个点探测器就可以实现对面目标的成像，具有物像分离、探测灵敏度高、抗干扰能力强等优点，为光学成像技术的发展带来了新的机遇。但关联成像以时间换空间的多帧累积成像模式，严重限制了图像的获取效率。为了解决该问题，除了进行系统结构、光源和探测方法优化设计外，研究高效的图像重构算法也是提高成像质量和成像速度最有效的方法之一。好的图像重构算法不仅能大大降低成像所需中的测量次数，提高信息提取效率和重构图像质量，还能降低对成像系统硬件的要求，是关联成像技术走向实用的关键。近年来，关联成像图像重构算法不断演变，发展出很多不同类型的重构算法。文中将简要回顾关联成像的原理机制，在此基础上系统介绍几种主要关联成像算法的基本原理，分析其优缺点和适用场景。

关键词: 量子光学, 关联成像, 强度关联, 伪逆算法, 深度学习

Abstract: Optical imaging is one of the most important techniques for information acquisition. Ghost imaging is a novel technique based on high-order correlation of the light field, which can reconstruct the two-dimension image of objects using only a single pixel detector. It has advantages of object-image separation, high imaging sensitivity and strong robustness, then promises new opportunities and prospects for the development of optical imaging. However, the imaging mode based on multi-frame cumulation takes time to obtain the image, which severely limits the efficiency of image acquisition. In order to solve this problem, research on efficient reconstruction algorithm is one of the most practical methods to improve the imaging quality and imaging efficiency besides the optimization designs of system structure, light source and detection. A good reconstruction algorithm can not only greatly reduce the number of measurements required for imaging, improve the efficiency of information extraction and quality of reconstructed image, but also reduce the requirement of hardware. In recent years, there are many different kinds of reconstruction algorithms developed. In this paper, the principle and mechanism of ghost imaging are briefly reviewed and then the basic principles of several algorithms of ghost imaging are introduced systematically.

Key words: quantum optics, ghost imaging, intensity correlation, pseudo-inverse algorithm, deep-learning

中图分类号:

O431.2

林惠祖刘伟涛孙帅杜隆坤常宸李月刚. 关联成像算法研究进展[J]. 量子电子学报, 2022, 39(6): 863-879.

LIN Huizu , ∗ , LIU Weitao , ∗ , SUN Shuai , , DU Longkun , , CHANG Chen , , LI Yuegang , . Progress of algorithms used in ghost imaging[J]. Chinese Journal of Quantum Electronics, 2022, 39(6): 863-879.

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关联成像算法研究进展

Progress of algorithms used in ghost imaging

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