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  • Received: Jul. 31, 2020

    Accepted: Sep. 22, 2020

    Posted: Dec. 14, 2020

    Published Online: Jan. 4, 2021

    The Author Email: Wenlin Gong (gongwl@siom.ac.cn)

    DOI: 10.3788/COL202119.021102

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    Pengwei Wang, Chenglong Wang, Cuiping Yu, Shuai Yue, Wenlin Gong, Shensheng Han. Color ghost imaging via sparsity constraint and non-local self-similarity[J]. Chinese Optics Letters, 2021, 19(2): 021102

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Chinese Optics Letters, Vol. 19, Issue 2, 021102 (2021)

Color ghost imaging via sparsity constraint and non-local self-similarity

Pengwei Wang1,2, Chenglong Wang1, Cuiping Yu3, Shuai Yue3, Wenlin Gong1,2,*, and Shensheng Han1,2,4

Author Affiliations

  • 1Key Laboratory of Quantum Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Wuhan Optics Valley Aerospace Sanjiang Laser Industrial Technology Research Institute Co., Ltd., Wuhan 430075, China
  • 4Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China

Abstract

We propose a color ghost imaging approach where the object is illuminated by three-color non-orthogonal random patterns. The object’s reflection/transmission information is received by only one single-pixel detector, and both the sparsity constraint and non-local self-similarity of the object are utilized in the image reconstruction process. Numerical simulation results demonstrate that the imaging quality can be obviously enhanced by ghost imaging via sparsity constraint and non-local self-similarity (GISCNL), compared with the reconstruction methods where only the object’s sparsity is used. Factors affecting the quality of GISCNL, such as the measurement number and the detection signal-to-noise ratio, are also studied.

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