Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0210021(2022)

Defogging Algorithm Based on Image Features and Wavelet Transform

Lifeng He1,2, Pu Yuan1、*, Guangbin Zhou1, Liangliang Su1, and Bofan Lu1
Author Affiliations
  • 1School of Electrical and Information Engineering and Artificial Intelligence, Shaanxi University of Science & Technology, Xi'an , Shaanxi 710021, China
  • 2School of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi 480-1198, Japan
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    References(22)

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    [15] Chen Y, Lu C T. Single image dehazing based on superpixel segmentation combined with dark-bright channels[J]. Laser & Optoelectronics Progress, 57, 161023(2020).

    [16] Qu C, Bi D Y. Haze image restoration based on multi-prior constraints[J]. Laser & Optoelectronics Progress, 57, 181014(2020).

    [17] Chen Y Q, Duan J, Zhu Y et al. Research on the image complexity based on texture features[J]. Chinese Optics, 8, 407-414(2015).

    [21] He L F, Zhou G B, Yao B et al. A haze removal algorithm based on guided coefficient weighted and adaptive image enhancement method[J]. Microelectronics & Computer, 37, 73-77, 82(2020).

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    Lifeng He, Pu Yuan, Guangbin Zhou, Liangliang Su, Bofan Lu. Defogging Algorithm Based on Image Features and Wavelet Transform[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210021

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    Paper Information

    Category: Image Processing

    Received: May. 14, 2021

    Accepted: Jun. 11, 2021

    Published Online: Dec. 23, 2021

    The Author Email: Yuan Pu (271298011@qq.com)

    DOI:10.3788/LOP202259.0210021

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