Journal of Applied Optics, Volume. 40, Issue 5, 812(2019)

Research and implementation of real-time fog and haze video image restoration system based on FPGA

YE Mao1... HUANG Pingao2, LYU Yang3, TANG Ning1 and LIU Jianwei1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(15)

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    [3] [3] LIU Qian, CHEN Maoyin, ZHOU Donghua. Fast haze removal from a single image[C]∥ 2013 25th Chinese Control and Decision Conference (CCDC).[S.l]: [s.n], 2013

    [4] [4] LIU Guangfei, HU Liaolin. Improvement and FPGA implementation of dark channel priori dehazing algorithm[J]. Journal of Xian University of Technology, 2016(1): 48-51

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    [9] [9] HUANG Pingao, YE Mao, ZHANG Zifang, et al. Method for adjusting the parameters of image dehazed by method of dark channel prior[J]. Video engineering, 2016, 40( 7) : 118-122.

    [10] [10] DAS D, CHAUDHURI S S, ROY S. Dehazing technique based on dark channel prior model with sky masking and its quantitative analysis[C]∥2016 2nd International Conference on Control.[S.l]: [s.n.], 2016.

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    [13] [13] GU Zhenfei , JU Mingye , ZHANG Dengyin . A single image dehazing method using average saturation prior[J]. Mathematical Problems in Engineering, 2017, 2017: 1-17.

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    YE Mao, HUANG Pingao, LYU Yang, TANG Ning, LIU Jianwei. Research and implementation of real-time fog and haze video image restoration system based on FPGA[J]. Journal of Applied Optics, 2019, 40(5): 812

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    Paper Information

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    Received: Oct. 30, 2018

    Accepted: --

    Published Online: Nov. 5, 2019

    The Author Email:

    DOI:10.5768/jao201940.0502004

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