Acta Optica Sinica, Volume. 43, Issue 9, 0911003(2023)

Uncertainty Estimation for Image Information Reconstruction in Ghost Imaging System Based on Bootstrap Method

Kaixuan Zhu1,2,3, Chenyu Hu1,3、*, Hong Yu1,3, and Shensheng Han1,2,3
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
  • 3School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang , China
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    Figures & Tables(5)
    Diagram of thermal ghost imaging system
    Simulation result of real-space ghost imaging (GI) reconstruction by intensity correlation algorithm. (a) Original image;(b) reconstructed image
    Two-dimensional and three-dimensional images of standard error of intensity correlation algorithm in case of noiseless. (a) Theoretical estimation; (b) Bootstrap estimation; (c) standard error of theoretical and Bootstrap estimation results of selected section through peak of small hole
    Standard error and confidence interval estimated by TwIST reconstruction. (a) Original image, reconstructed image, and standard error obtained by nonparametric Bootstrap; (b) uncertainty diagram of confidence interval of 99% in selected line of data, absolute error diagram, and half-width ε diagram of confidence interval of 99%
    Bias and absolute error diagrams of TwIST reconstruction. (a) Actual error and absolute error diagrams of original sample reconstruction; (b) bias and root mean square error diagrams estimated by Bootstrap method
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    Kaixuan Zhu, Chenyu Hu, Hong Yu, Shensheng Han. Uncertainty Estimation for Image Information Reconstruction in Ghost Imaging System Based on Bootstrap Method[J]. Acta Optica Sinica, 2023, 43(9): 0911003

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 8, 2022

    Accepted: Jan. 11, 2023

    Published Online: May. 10, 2023

    The Author Email: Hu Chenyu (huchenyu@ucas.ac.cn)

    DOI:10.3788/AOS222122

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