Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0401002(2024)

Parallel Multi Scale Attention Mapping Image Dehazing Algorithm

Heng Yuan and Tinghao Yan*
Author Affiliations
  • College of Software, Liaoning Technical University, Huludao 125105, Liaoning , China
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    Figures & Tables(16)
    Proposed network structure
    Structure of PMAB. (a) Module 1; (b) module 2; (c) module 3
    Receptive field of hybrid dilated convolution contrast
    Attention module structure
    Attention module feature map visualization. (a) Hazy image; (b) attention module output feature map
    Selective feature fusion block structure
    Comparison of experimental results of synthetic hazy images by different algorithms. (a) Hazy images; (b) DCP; (c) MSCNN; (d) AOD-NET; (e) AEDGAN; (f) URNET; (g) HR-Dehazer; (h) PCFAN; (i) MADN; (j) proposed algorithm
    Comparison of experimental results of different algorithms on real hazy images. (a) Hazy images; (b) DCP; (c) MSCNN; (d) AOD-NET; (e) AEDGAN; (f) URNET; (g) HR-Dehazer; (h) PCFAN; (i) MADN; (j) proposed algorithm
    Comparison chart of PSNR and SSIM results of different algorithms on SOTS dataset. (a) PSNR; (b) SSIM
    Comparison chart of Entropy,FADE,VIF,AG results of different algorithms on HSTS dataset. (a) Entropy; (b) FADE; (c) VIF; (d) AG
    Comparison diagrams of dehazing effects of different module ablation experiments. (a) Hazy image; (b) residual block; (c) attention residual block; (d) parallel multi scale mapping block; (e) PMAB; (f) PMAB+up-down sampling fudion; (g) PMAB+up-down sampling fudion+SFFB; (h) hybrid dilated convolution
    • Table 1. Comparison of parameter quantities for different types of convolutions

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      Table 1. Comparison of parameter quantities for different types of convolutions

      Convolution typeParameter quantity
      Convolution113792
      Depthwise separable convolution48402
    • Table 2. Test results of PSNR and SSIM of different algorithms on SOTS dataset

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      Table 2. Test results of PSNR and SSIM of different algorithms on SOTS dataset

      AlgorithmOutdoorIndoor
      PSNRSSIMPSNRSSIM
      DCP16.61420.817619.12140.8159
      MSCNN19.84310.832722.06850.9078
      AOD-NET22.13890.914220.54770.8933
      AEDGAN27.11820.909523.36570.8968
      URNET27.47250.932625.72260.9269
      HR-Dehazer26.87150.916324.31360.9028
      PCFAN24.69310.939526.97130.9382
      MADN28.13530.957926.69720.9316
      Proposed algorithm32.87860.975128.78520.9458
    • Table 3. Test results of Entropy,FADE,VIF,AG of different algorithms on HSTS dataset

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      Table 3. Test results of Entropy,FADE,VIF,AG of different algorithms on HSTS dataset

      AlgorithmEntropyFADEVIFAG
      Hazy image5.80620.81160.65294.9983
      DCP6.76430.57260.79166.8955
      MSCNN6.31470.68910.81607.0683
      AOD-NET6.61590.63770.89447.1924
      AEDGAN7.16250.49140.91257.5382
      URNET6.86930.59730.83627.6531
      HR-Dehazer7.13190.58340.89677.4938
      PCFAN7.07260.50460.90357.5976
      MADN6.89310.61930.93866.9043
      Proposed algorithm7.29680.51120.97697.9306
    • Table 4. Comparison of image processing time results of different algorithms

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      Table 4. Comparison of image processing time results of different algorithms

      AlgorithmProcessing time /s
      DCP1.0257
      MSCNN1.2331
      AOD-NET0.5543
      AEDGAN0.6378
      URNET0.4923
      HR-Dehazer0.6079
      PCFAN0.4063
      MADN0.6579
      Proposed algorithm0.2016
    • Table 5. Comparison of ablation experiment results

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      Table 5. Comparison of ablation experiment results

      Experimental modulePSNR /dBSSIM
      Residual block24.91510.9159
      Attention residual block26.17660.9375
      Parallel multi scale mapping block26.94950.9391
      PMAB29.45920.9573
      PMAB+up-down sampling fusion30.89310.9542
      PMAB+up-down sampling fusion+SFFB31.77320.9709
      Hybrid dilated convolution32.87860.9751
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    Heng Yuan, Tinghao Yan. Parallel Multi Scale Attention Mapping Image Dehazing Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0401002

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Mar. 22, 2023

    Accepted: Jun. 1, 2023

    Published Online: Feb. 22, 2024

    The Author Email: Tinghao Yan (isaebellayth@163.com)

    DOI:10.3788/LOP230921

    CSTR:32186.14.LOP230921

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