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Online adaptive computational ghost imaging

  • Heng Wu
  • , Ruizhou Wang
  • , Zepeng Huang
  • , Huapan Xiao
  • , Jian Liang
  • , Daodang Wang
  • , Xiaobo Tian
  • , Tao Wang
  • , Lianglun Cheng

Research output: Contribution to journal › Article › peer-review

Abstract

We propose an online adaptive computational ghost imaging (CGI) scheme that offers high quality imaging with few measurement numbers. Different from the conventional second-order correlation CGI, the proposed scheme utilizes an online imaging method for image reconstruction, where the object image is recovered immediately after the light intensity is acquired. An adaptive measurement termination method is proposed to terminate the online imaging when the quality of the recovered image is satisfied. The effectiveness of the proposed scheme is verified by numerical simulations and experiments and its imaging performance is assessed by comparing the results with state-of-the-art FWHTGI (fast Walsh-Hadamard transform CGI) and RDCGI (Russian dolls ordering CGI). The results demonstrate that the proposed scheme can achieve high-quality imaging with few measurements, and imaging quality is better than that with FWHTGI and RDCGI under low measurement number conditions. The proposed scheme may be helpful for high-resolution and real-time CGI.

Original languageEnglish (US)
Article number106028
JournalOptics and Lasers in Engineering
Volume128
DOIs
StatePublished - May 2020

Keywords

  • Computational ghost imaging
  • Hadamard transform
  • Image reconstruction techniques

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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