量子电子学报 ›› 2026, Vol. 43 ›› Issue (2): 275-284.doi: 10.3969/j.issn.1007-5461.2026.02.010

• 图像与信息处理 • 上一篇    下一篇

基于涨落特性的三阶关联成像差分形式

胡雅静 , 张晓宇 , 高 超 , 王晓茜 *   

  1. 长春理工大学物理学院, 吉林 长春 130022
  • 收稿日期:2024-04-01 修回日期:2024-05-16 出版日期:2026-03-28 发布日期:2026-03-28
  • 通讯作者: E-mail: xqwang21@163.com E-mail:E-mail: xqwang21@163.com
  • 作者简介:胡雅静 (1998 - ), 女, 内蒙古赤峰人, 研究生, 主要从事鬼成像理论与计算方面的研究。E-mail: 1304211059@qq.com
  • 基金资助:
    吉林省自然科学基金 (YDZJ202101ZYTS030)

Differential Forms of Third-order Correlation Imaging Based on Fluctuation Characteristics

HU Yajing, ZHANG Xiaoyu, GAO Chao, WANG Xiaoqian   

  1. Department of Physics, Changchun University of Science and Technology, Changchun 130022, China
  • Received:2024-04-01 Revised:2024-05-16 Published:2026-03-28 Online:2026-03-28

摘要: 关联成像又称为鬼成像, 是一种新型成像方式, 具有较强的抗干扰能力, 近年来得到了广泛的研究。已有的研究发现, 在理论上, 随着关联成像阶数的增加, 能够获得更多的物体信息, 并且图像具有更高的分辨率和信噪比, 因此, 高阶关联成像逐渐成为研究热点问题。然而, 在实际的实验中高阶关联成像往往成像质量较差, 且存在测量次数较多的问题。鉴于在二阶关联成像中可以利用差分成像来提高成像质量, 本文从三阶关联成像的差分形式出发, 以改善三阶关联成像的成像质量。首先对三阶关联成像方案提出了基于光强涨落的差分形式, 并进行了理论、数值模拟以及结构相似性指标等的对比研究, 随后实验验证了差分形式的正确性与可行性。结果表明, 所提出的三阶关联成像的差分形式能够在减少测量次数的同时提升成像质量。

关键词: 关联成像, 成像质量, 差分鬼成像, 结构相似性指标

Abstract: Correlation imaging, also known as ghost imaging, is a novel imaging method with strong anti-interference ability and has been widely studied in recent years. Existing studies have found that, theoretically, as the order of correlated imaging increases, more object information can be obtained, and the image exhibits higher resolution and signal-to-noise ratio. Consequently, high-order correlated imaging has gradually become a research hotspot. However, in practical experiments, high-order correlated imaging often suffers from poor image quality and requires a large number of measurements. Given that differential imaging can be used in second-order correlation imaging to improve the image quality, this paper mainly starts from the differential form of third-order correlation imaging to improve the image quality of third-order correlation imaging. Firstly, the differential forms based on the fluctuation of light intensity are proposed for the third-order correlation imaging scheme, and theoretical analysis, numerical simulations, and comparative studies of the structural similarity index are conducted. Subsequently, the correctness and feasibility of the differential form are experimentally verified. The results show that the proposed differential form of third-order correlation imaging can improve imaging quality while reducing the number of measurements.

Key words: correlation imaging, image quality, differential ghost imaging, structural similarity index

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