中国物理B ›› 2019, Vol. 28 ›› Issue (8): 84204-084204.doi: 10.1088/1674-1056/28/8/084204

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇    下一篇

Mask-based denoising scheme for ghost imaging

Yang Zhou(周阳), Shu-Xu Guo(郭树旭), Fei Zhong(钟菲), Tian Zhang(张天)   

  1. 1 State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China;
    2 Changchun Institute of Technology, School of Electrical Engineering and Information Technology, Changchun 130012, China;
    3 School of Physics, Northeast Normal University, Changchun 130024, China
  • 收稿日期:2019-02-22 修回日期:2019-04-09 出版日期:2019-08-05 发布日期:2019-08-05
  • 通讯作者: Tian Zhang E-mail:zhangtian114@sina.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 61627823), the Foundation for Excellent Young Talents of Jilin Province, China (Grant No. 20190103010JH), the “13th Five-Year” Science and Technology Research Project of the Education Department of Jilin Province, China (Grant No. JJKH20190277KJ), the China Postdoctoral Science Foundation (Grant No. 2018M641759), and the Fundamental Research Funds for the Central Universities, China (Grant No. 2412018QD002).

Mask-based denoising scheme for ghost imaging

Yang Zhou(周阳)1, Shu-Xu Guo(郭树旭)1, Fei Zhong(钟菲)2, Tian Zhang(张天)3   

  1. 1 State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China;
    2 Changchun Institute of Technology, School of Electrical Engineering and Information Technology, Changchun 130012, China;
    3 School of Physics, Northeast Normal University, Changchun 130024, China
  • Received:2019-02-22 Revised:2019-04-09 Online:2019-08-05 Published:2019-08-05
  • Contact: Tian Zhang E-mail:zhangtian114@sina.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 61627823), the Foundation for Excellent Young Talents of Jilin Province, China (Grant No. 20190103010JH), the “13th Five-Year” Science and Technology Research Project of the Education Department of Jilin Province, China (Grant No. JJKH20190277KJ), the China Postdoctoral Science Foundation (Grant No. 2018M641759), and the Fundamental Research Funds for the Central Universities, China (Grant No. 2412018QD002).

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摘要： Ghost imaging (GI) is thought of as a promising imaging method in many areas. However, the main drawback of GI is the huge measurement data and low signal-to-noise ratio. In this paper, we propose a novel mask-based denoising scheme to improve the reconstruction quality of GI. We first design a mask through the maximum between-class variance (OTSU) method and construct the measurement matrix with speckle patterns. Then, the correlated noise in GI can be effectively suppressed by employing the mask. From the simulation and experimental results, we can conclude that our method has the ability to improve the imaging quality compared with traditional GI method.

关键词: ghost imaging, maximum between-class variance, mask, image quality

Abstract: Ghost imaging (GI) is thought of as a promising imaging method in many areas. However, the main drawback of GI is the huge measurement data and low signal-to-noise ratio. In this paper, we propose a novel mask-based denoising scheme to improve the reconstruction quality of GI. We first design a mask through the maximum between-class variance (OTSU) method and construct the measurement matrix with speckle patterns. Then, the correlated noise in GI can be effectively suppressed by employing the mask. From the simulation and experimental results, we can conclude that our method has the ability to improve the imaging quality compared with traditional GI method.

Key words: ghost imaging, maximum between-class variance, mask, image quality

中图分类号:  (Image forming and processing)

  • 42.30.Va
42.30.Wb (Image reconstruction; tomography)