Infrared and Laser Engineering, Volume. 49, Issue 3, 0303020(2020)

Depth estimation in computational ghost imaging system using auto-focusing method with adaptive focus window

Feng Shi1, Daquan Yu2, Zitao Lin2, Shuning Yang1, Zhuang Miao1, Ye Yang1, and Wenwen Zhang2、*
Author Affiliations
  • 1Science and Technology on Low-Light-Level Night Vision Laboratory, Xi’an 710065, China
  • 2Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, China
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    References(28)

    [18] H Wu, X Zhang, J Gan. High-quality computational ghost imaging using an optimum distance search method. IEEE Photonics Journal, 8, 1-9(2016).

    [24] [24] Goodman J W. (2005) Introduction to Fourier Optics[M]. 3rd ed. Colado: Roberts & Company Publishers.

    CLP Journals

    [1] Wei Tan, Xianwei Huang, Teng Jiang, Qin Fu, Suqin Nan, Xuanpengfan Zou, Yanfeng Bai, Xiquan Fu. Research on the effect of noise-containing signal light on correlated imaging in complex environment (Invited)[J]. Infrared and Laser Engineering, 2021, 50(12): 20210657

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    Feng Shi, Daquan Yu, Zitao Lin, Shuning Yang, Zhuang Miao, Ye Yang, Wenwen Zhang. Depth estimation in computational ghost imaging system using auto-focusing method with adaptive focus window[J]. Infrared and Laser Engineering, 2020, 49(3): 0303020

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    Paper Information

    Received: Nov. 3, 2019

    Accepted: --

    Published Online: Apr. 22, 2020

    The Author Email: Zhang Wenwen (zhangww@njust.edu.cn)

    DOI:10.3378/IRLA202049.0303020

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