Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0410005(2023)

Dark Channel Image Defogging Method Based on Regional Transmittance Fusion

Bin Xie, Junxia Yang*, Lü Zhiming, and Jianhao Shen
Author Affiliations
  • College of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China
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    Figures & Tables(12)
    Edge distortion maps. (a) Foggy image; (b) image of reference [10] method; (c) image of reference [17] method; (d) partial magnification of Fig.1(a); (e) partial magnification of Fig.1(b); (f) partial magnification of Fig.1(c)
    Sky distortion maps. (a) Foggy image; (b) image of reference [10] method; (c) image of reference [16] method
    Flow chart of proposed method image defogging
    Comparison of fog removal in dark channel. (a) Original foggy image; (b) reference [10] method; (c) transmission fusion method; (d) partial enlargement of Fig.4 (a); (e) partial enlargement of Fig.4 (b); (f) partial magnification of Fig.4 (c)
    Comparison of brightness fusion methods for defogging. (a) Original foggy image; (b) reference [10] method; (c) transmission fusion method; (d) reference [17] method;(e) brightness fusion method; (f) partial enlargement of Fig.5(b); (g) partial magnification of Fig.5 (c); (h) partial magnification of Fig.5 (d); (i) partial magnification of Fig.5 (e)
    Image comparison of atmospheric light results. (a) Foggy image; (b) reference [10] method; (c) proposed method
    Comparison of detail retention ability. (a) Foggy images;(b) reference [10] method; (c) reference [16] method; (d) reference [17] method; (e) reference [15] method; (f) proposed method
    Comparison of fog removal effect and sky color retention ability. (a) Foggy images; (b) reference [10] method; (c) reference [16] method; (d) reference [17] method; (e) reference [15] method; (f) proposed method
    • Table 1. Comparison results of PSNR of different methods

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      Table 1. Comparison results of PSNR of different methods

      Foggy imageHe et al10Zhao et al 16Zhu et al 17Zhu et al 15Proposed method

      7(Image 1)

      7(Image 2)

      7(Image 3)

      8(Image 1)

      8(Image 2)

      8(Image 3)

      8(Image 4)

      8(Image 5)

      15.173

      13.097

      11.471

      11.798

      12.689

      9.978

      11.360

      9.792

      14.598

      18.386

      18.393

      15.811

      17.065

      14.363

      15.217

      16.184

      12.649

      12.751

      13.847

      11.892

      16.412

      10.329

      13.217

      9.270

      19.109

      17.301

      18.168

      15.242

      14.042

      15.324

      13.238

      14.880

      19.646

      18.825

      18.416

      16.812

      18.102

      19.032

      18.958

      18.230

    • Table 2. Comparison results of SSIM of different methods

      View table

      Table 2. Comparison results of SSIM of different methods

      Foggy imageHe et al10Zhao et al 16Zhu et al 17Zhu et al 15Proposed method

      7(Image 1)

      7(Image 2)

      7(Image 3)

      8(Image 1)

      8(Image 2)

      8(Image 3)

      8(Image 4)

      8(Image 5)

      0.689

      0.654

      0.646

      0.688

      0.704

      0.591

      0.621

      0.675

      0.651

      0.659

      0.773

      0.540

      0.717

      0.424

      0.702

      0.639

      0.722

      0.723

      0.701

      0.607

      0.754

      0.629

      0.803

      0.612

      0.710

      0.768

      0.674

      0.688

      0.742

      0.806

      0.815

      0.740

      0.885

      0.795

      0.794

      0.705

      0.797

      0.874

      0.856

      0.824

    • Table 3. Comparison results of r of different methods

      View table

      Table 3. Comparison results of r of different methods

      Foggy imageHe et al10Zhao et al 16Zhu et al 17Zhu et al 15Proposed method

      7(Image 1)

      7(Image 2)

      7(Image 3)

      8(Image 1)

      8(Image 2)

      8(Image 3)

      8(Image 4)

      8(Image 5)

      10.861

      12.116

      4.175

      5.265

      8.813

      5.733

      6.175

      4.159

      14.498

      18.983

      4.951

      9.434

      9.936

      6.855

      9.717

      7.147

      9.480

      10.882

      3.550

      5.633

      8.914

      4.218

      6.385

      3.798

      14.804

      8.575

      4.359

      4.380

      9.139

      5.126

      6.027

      3.883

      15.629

      19.906

      6.847

      10.279

      10.946

      7.321

      11.787

      8.662

    • Table 4. Comparison results of running time of different methods

      View table

      Table 4. Comparison results of running time of different methods

      Foggy imageHe et al10Zhao et al 16Zhu et al 17Zhu et al 15Proposed method

      7(Image 1)

      7(Image 2)

      7(Image 3)

      8(Image 1)

      8(Image 2)

      8(Image 3)

      8(Image 4)

      8(Image 5)

      1.089

      0.356

      0.210

      0.346

      0.751

      0.216

      0.345

      0.330

      0.867

      0.357

      0.272

      0.211

      0.227

      0.215

      0.212

      0.239

      0.759

      0.436

      0.271

      0.136

      0.863

      0.205

      0.363

      0.292

      1.301

      0.334

      0.217

      0.332

      0.592

      0.308

      0.284

      0.460

      0.701

      0.232

      0.213

      0.153

      0.188

      0.156

      0.098

      0.214

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    Bin Xie, Junxia Yang, Lü Zhiming, Jianhao Shen. Dark Channel Image Defogging Method Based on Regional Transmittance Fusion[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0410005

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    Paper Information

    Category: Image Processing

    Received: Oct. 25, 2021

    Accepted: Dec. 21, 2021

    Published Online: Feb. 13, 2023

    The Author Email: Yang Junxia (1249367925@qq.com)

    DOI:10.3788/LOP212787

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