中国物理B ›› 2020, Vol. 29 ›› Issue (12): 128704-.doi: 10.1088/1674-1056/abc15f

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  • 收稿日期:2020-08-17 修回日期:2020-09-22 接受日期:2020-10-15 出版日期:2020-12-01 发布日期:2020-11-19

Super-resolution filtered ghost imaging with compressed sensing

Shao-Ying Meng(孟少英)1, Wei-Wei Shi(史伟伟)1, Jie Ji(季杰)1, Jun-Jie Tao(陶俊杰)1, Qian Fu(付强)1, Xi-Hao Chen(陈希浩)1,†, and Ling-An Wu(吴令安)2   

  1. 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:2020-08-17 Revised:2020-09-22 Accepted:2020-10-15 Online:2020-12-01 Published:2020-11-19
  • Contact: Corresponding author. E-mail: xi-haochen@163.com
  • Supported by:
    Project supported by the National Key Research and Development Program of China (Grant Nos. 2018YFB0504302 and 2017YFB0503301) and Defense Industrial Technology Development Program (Grant No. D040301-1).

Abstract: A filtered ghost imaging (GI) protocol is proposed that enables the Rayleigh diffraction limit to be exceeded in an intensity correlation system; a super-resolution reconstructed image is achieved by low-pass filtering of the measured intensities. In a lensless GI experiment performed with spatial bandpass filtering, the spatial resolution can exceed the Rayleigh diffraction bound by more than a factor of 10. The resolution depends on the bandwidth of the filter, and the relationship between the two is investigated and discussed. In combination with compressed sensing programming, not only high resolution can be maintained but also image quality can be improved, while a much lower sampling number is sufficient.

Key words: ghost imaging, bandpass filtering, compressed sensing, super resolution

中图分类号:  (Spatial resolution)

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87.63.lm (Image enhancement)