Iterative filtered ghost imaging

doi:10.1088/1674-1056/ac29a9

中国物理B ›› 2022, Vol. 31 ›› Issue (2): 28702-028702.doi: 10.1088/1674-1056/ac29a9

Iterative filtered ghost imaging

Shao-Ying Meng(孟少英)¹, Mei-Yi Chen(陈美伊)¹, Jie Ji(季杰)¹, Wei-Wei Shi(史伟伟)¹, Qiang Fu(付强)¹, Qian-Qian Bao(鲍倩倩)¹, Xi-Hao Chen(陈希浩)^1,†, and Ling-An Wu(吴令安)²

1 Key Laboratory of Optoelectronic Devices and Detection Technology, School of Physics, Liaoning University, Shenyang 110036, China;
2 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China

收稿日期:2021-07-17 修回日期:2021-09-22 接受日期:2021-09-24 出版日期:2022-01-13 发布日期:2022-01-26
通讯作者: Xi-Hao Chen E-mail:xi-haochen@163.com
基金资助:
Project supported by the National Key Research and Development Program of China (Grant No. 2018YFB0504302), the National Natural Science Foundation of China (Grant No. 61975229), and Civil Space Project (Grant No. D040301).

Iterative filtered ghost imaging

1 Key Laboratory of Optoelectronic Devices and Detection Technology, School of Physics, Liaoning University, Shenyang 110036, China;
2 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China

Received:2021-07-17 Revised:2021-09-22 Accepted:2021-09-24 Online:2022-01-13 Published:2022-01-26
Contact: Xi-Hao Chen E-mail:xi-haochen@163.com
Supported by:
Project supported by the National Key Research and Development Program of China (Grant No. 2018YFB0504302), the National Natural Science Foundation of China (Grant No. 61975229), and Civil Space Project (Grant No. D040301).

摘要/Abstract

摘要： It is generally believed that, in ghost imaging, there has to be a compromise between resolution and visibility. Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image of a grayscale object is achieved, while at the same time the signal-to-noise ratio (SNR) and visibility are greatly improved, without adding complexity. The dependence of the SNR, visibility, and resolution on the number of iterations is also investigated and discussed. Moreover, with the use of compressed sensing the sampling number can be reduced to less than 1% of the Nyquist limit, while maintaining image quality with a resolution that can exceed the Rayleigh diffraction bound by more than a factor of 10.

关键词: ghost imaging, bandpass filtering, compressed sensing, iteration

Abstract: It is generally believed that, in ghost imaging, there has to be a compromise between resolution and visibility. Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image of a grayscale object is achieved, while at the same time the signal-to-noise ratio (SNR) and visibility are greatly improved, without adding complexity. The dependence of the SNR, visibility, and resolution on the number of iterations is also investigated and discussed. Moreover, with the use of compressed sensing the sampling number can be reduced to less than 1% of the Nyquist limit, while maintaining image quality with a resolution that can exceed the Rayleigh diffraction bound by more than a factor of 10.

Key words: ghost imaging, bandpass filtering, compressed sensing, iteration

中图分类号: (Spatial resolution)

87.57.cf

87.63.lm (Image enhancement)

Shao-Ying Meng(孟少英), Mei-Yi Chen(陈美伊), Jie Ji(季杰), Wei-Wei Shi(史伟伟), Qiang Fu(付强), Qian-Qian Bao(鲍倩倩), Xi-Hao Chen(陈希浩), and Ling-An Wu(吴令安). Iterative filtered ghost imaging[J]. 中国物理B, 2022, 31(2): 28702-028702.

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Iterative filtered ghost imaging

Iterative filtered ghost imaging

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