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Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221009(2020)

Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight

Ziqi Shao1, Haihong Jin1,2, Lijin Qian1, and Zhiguo Fan1、*
Author Affiliations
  • 1School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230601, China
  • 2School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (12)
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    References (19)
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    Figures & Tables(12)
    Diagram of haze image reconstruction method

    Fig. 1. Diagram of haze image reconstruction method

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    Gradient characteristics of nature image. (a) Nature scene image; (b) gradient histogram; (c) Laplace distribution

    Fig. 2. Gradient characteristics of nature image. (a) Nature scene image; (b) gradient histogram; (c) Laplace distribution

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    Gradient characteristics of airlight under different dense haze

    Fig. 3. Gradient characteristics of airlight under different dense haze

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    Airlight gradient prior. (a) Gradient histogram of airlight; (b) model of airlight gradient prior

    Fig. 4. Airlight gradient prior. (a) Gradient histogram of airlight; (b) model of airlight gradient prior

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    Influence of ξ for image layering

    Fig. 5. Influence of ξ for image layering

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    Layering results for polarized airlight images under 0° channel. (a) Polarized haze image; (b) object texture layer; (c) airlight layer; (d) estimated polarized airlight image by proposed method

    Fig. 6. Layering results for polarized airlight images under 0° channel. (a) Polarized haze image; (b) object texture layer; (c) airlight layer; (d) estimated polarized airlight image by proposed method

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    Estimated results for polarized airlight images. (a) Polarized haze image; (b) object texture layer; (c) airlight layer; (d) estimated polarized airlight image using the proposed method

    Fig. 7. Estimated results for polarized airlight images. (a) Polarized haze image; (b) object texture layer; (c) airlight layer; (d) estimated polarized airlight image using the proposed method

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    Results of haze image reconstruction. (a) Haze intensity image; (b) estimated airlight image by proposed method; c) reconstructed image using the proposed method

    Fig. 8. Results of haze image reconstruction. (a) Haze intensity image; (b) estimated airlight image by proposed method; c) reconstructed image using the proposed method

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    Comparison results of gray histogram and gradient histogram. (a) Haze image and reconstructed image; b) gray histogram; (c) gradient histogram

    Fig. 9. Comparison results of gray histogram and gradient histogram. (a) Haze image and reconstructed image; b) gray histogram; (c) gradient histogram

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    Reconstructed results for haze image with different dense haze. (a) Haze image; (b) dehazing results of Schechner method; (c) dehazing results of proposed method

    Fig. 10. Reconstructed results for haze image with different dense haze. (a) Haze image; (b) dehazing results of Schechner method; (c) dehazing results of proposed method

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    Degree of polarization(Dop) image and its gray histogram of haze image and airlight image. (a) Haze image; (b) Dop image of haze image; (c) gray histogram of haze image; (d) estimated airlight image by proposed method; (e) Dop image of airlight image; (f) gray histogram of airlight image

    Fig. 11. Degree of polarization(Dop) image and its gray histogram of haze image and airlight image. (a) Haze image; (b) Dop image of haze image; (c) gray histogram of haze image; (d) estimated airlight image by proposed method; (e) Dop image of airlight image; (f) gray histogram of airlight image

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    • Table 1. Objective evaluation results for different dehazing methods

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      Table 1. Objective evaluation results for different dehazing methods

      Haze densityHaze imageSchechner's methodProposed method
      Degree ofcontrastAveragegradientDegree ofcontrastAveragegradientDegree ofcontrastAveragegradient
      Mist haze8.316.4915.2410.8323.4146.57
      Middle haze5.353.258.325.2112.6327.47
      Big haze4.222.966.164.009.7622.93
      Dense haze3.202.354.542.666.7317.38
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    Ziqi Shao, Haihong Jin, Lijin Qian, Zhiguo Fan. Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221009

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    Paper Information

    Category: Image Processing

    Received: Mar. 2, 2020

    Accepted: Apr. 10, 2020

    Published Online: Nov. 5, 2020

    The Author Email: Zhiguo Fan (fzghfut@163.com)

    DOI:10.3788/LOP57.221009

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology