Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1811002(2022)

Strong Robust Computational Ghost Imaging Based on Continuous Wavelet Transform

Shuang Wang, Xiaoqian Wang, Lidan Gou, Zhihai Yao, Chao Gao**, and Yuling Feng*
Author Affiliations
  • College of Science, Changchun University Science and Technology, Changchun 130022, Jilin , China
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    References(21)

    [9] Sun B Q, Wang Y P. Temporal ghost imaging and its application[J]. Chinese Journal of Lasers, 48, 1212001(2021).

    [10] Zhao Y G, Dong B, Liu M et al. Deep learning based computational ghost imaging alleviating the effects of atmospheric turbulence[J]. Acta Optica Sinica, 41, 1111001(2021).

    [11] Hu Y D, Cheng Z D, Liang Z Y et al. Experimental study on laser computational ghost imaging through smoke media[J]. Chinese Journal of Lasers, 48, 0401020(2021).

    [14] Zhou C, Huang H Y, Liu B et al. Hybrid speckle-pattern compressive computational ghost imaging[J]. Acta Optica Sinica, 36, 0911001(2016).

    [16] Li M Y. Research on wavelet transform-based ghost imaging techniques[D](2018).

    [21] Xue Z C, Li Y G, Li L Z et al. Study of extract and analysis of weak signals by using continuous Mexican hat wavelet transform[J]. Journal of Chongqing University of Arts and Sciences (Natural Science Edition), 31, 79-82, 90(2012).

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    Shuang Wang, Xiaoqian Wang, Lidan Gou, Zhihai Yao, Chao Gao, Yuling Feng. Strong Robust Computational Ghost Imaging Based on Continuous Wavelet Transform[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1811002

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    Paper Information

    Category: Imaging Systems

    Received: Jul. 7, 2021

    Accepted: Jul. 22, 2021

    Published Online: Aug. 29, 2022

    The Author Email: Gao Chao (921663595@qq.com), Feng Yuling (supergoddy@qq.com)

    DOI:10.3788/LOP202259.1811002

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