Optimization of computational ghost imaging

Chao Gao, Xiaoqian Wang, Zhifeng Wang, Zhe Li, Guijiao Du, Feng Chang, and Zhihai Yao
Phys. Rev. A 96, 023838 – Published 15 August 2017

Abstract

We studied the second-order correlation function of computational ghost imaging, and we gave the expressions of second-order correlation function in the signal and background region. We found the total intensity of the modulated source influences the visibility of the reconstructed image. We discussed the positive-negative correlation phenomenon in a computational ghost imaging (CGI) system, and a protocol was given to distinguish the positive and negative correlations. This protocol allows us to determine the dividing line of positive and negative correlations before sampling, and it was verified by our simulations and experiments; the imaging quality of computational ghost imaging can be greatly improved by using this protocol.

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  • Received 3 May 2017

DOI:https://doi.org/10.1103/PhysRevA.96.023838

©2017 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
  1. Techniques
Atomic, Molecular & Optical

Authors & Affiliations

Chao Gao1, Xiaoqian Wang1,*, Zhifeng Wang1, Zhe Li2, Guijiao Du1, Feng Chang1, and Zhihai Yao1,†

  • 1Department of Physics, Changchun University of Science and Technology, Changchun 130022, People's Republic of China
  • 2Department of Applied Mathematics, Changchun University of Science and Technology, Changchun 130022, People's Republic of China

  • *xqwang21@163.com
  • yaozh@cust.edu.cn

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Vol. 96, Iss. 2 — August 2017

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