Laser & Optoelectronics Progress, Volume. 57, Issue 14, 141008(2020)

Fast and Efficient Real-Time Video Dehazing Algorithm

Zhiheng Chen, Limin Yan*, and Bin Lu
Author Affiliations
  • Microelectronics Research & Development Center, Shanghai University, Shanghai 200444, China
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    Figures & Tables(8)
    Implementation process of the algorithm. (a) G0; (b) G1; (c) J'(s); (d) t'(x); (e)t″(x); (f) dehazing image
    Schematic diagram of pyramid downward sampling
    Flow chart of obtaining the coarse transmittance
    Flow chart of transmittance refinement
    Visual effects of different algorithms. (a) Haze image; (b) Ref. [2] algorithm; (c) Ref. [4] algorithm; (d) Ref. [6] algorithm; (e) our algorithm
    Real-time defogging effect of drone aerial video
    • Table 1. Comparison result of haze removal effect

      View table

      Table 1. Comparison result of haze removal effect

      ParameterJ0(x)J1(x)J2(x)
      PSNR /dB17.452316.301414.7321
      MSSIM0.91230.81910.7826
      Running time /s0.8310.0220.014
    • Table 2. Objective evaluation

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      Table 2. Objective evaluation

      Haze imageAlgorithmTime /msPSNR /dBMSSIM
      Little fogRef.[2]7919.9070.877
      Ref.[4]18915.1910.758
      Ref.[6]22317.5980.648
      proposed2321.1330.884
      ModeratefogRef.[2]6017.1740.841
      Ref.[4]17815.6670.749
      Ref.[6]21219.8790.734
      proposed2420.7230.872
      Heavy fogRef.[2]6117.5140.838
      Ref.[4]19114.5750.767
      Ref.[6]21919.5950.777
      proposed2420.3030.882
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    Zhiheng Chen, Limin Yan, Bin Lu. Fast and Efficient Real-Time Video Dehazing Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141008

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    Paper Information

    Category: Image Processing

    Received: Sep. 24, 2019

    Accepted: Dec. 11, 2019

    Published Online: Jul. 23, 2020

    The Author Email: Limin Yan (yanlm@shu.edu.cn)

    DOI:10.3788/LOP57.141008

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