• Laser & Optoelectronics Progress
  • Vol. 62, Issue 8, 0837004 (2025)
Xuguang Zhu* and Nan Jiang
Author Affiliations
  • College of Software, Liaoning Technical University, Huludao 125105, Liaoning , China
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    DOI: 10.3788/LOP241813 Cite this Article Set citation alerts
    Xuguang Zhu, Nan Jiang. Image Dehazing Algorithm Based on Multi-Dimensional Attention Feature Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(8): 0837004 Copy Citation Text show less
    Overall architecture of MAFF-Net
    Fig. 1. Overall architecture of MAFF-Net
    Structure of channel attention module
    Fig. 2. Structure of channel attention module
    Structure of spatial attention module
    Fig. 3. Structure of spatial attention module
    Structure of pixel attention module
    Fig. 4. Structure of pixel attention module
    Structure of MPFF module
    Fig. 5. Structure of MPFF module
    Structure of Bi-GFF module
    Fig. 6. Structure of Bi-GFF module
    Partial experimental results of different algorithms on RESIDE SOTS Indoor dataset. (a) Hazy images; (b) DCP; (c) DehazeNet; (d) GFN; (e) AOD-Net; (f) GCA-Net; (g) DCPDN; (h) MsCNN; (i) proposed algorithm; (j) standard fog free images
    Fig. 7. Partial experimental results of different algorithms on RESIDE SOTS Indoor dataset. (a) Hazy images; (b) DCP; (c) DehazeNet; (d) GFN; (e) AOD-Net; (f) GCA-Net; (g) DCPDN; (h) MsCNN; (i) proposed algorithm; (j) standard fog free images
    Partial experimental results of different algorithms on RESIDE SOTS Outdoor dataset. (a) Hazy images; (b) DCP; (c) DehazeNet; (d) GFN; (e) AOD-Net; (f) GCA-Net; (g) DCPDN; (h) MsCNN; (i) proposed algorithm; (j) standard fog free images
    Fig. 8. Partial experimental results of different algorithms on RESIDE SOTS Outdoor dataset. (a) Hazy images; (b) DCP; (c) DehazeNet; (d) GFN; (e) AOD-Net; (f) GCA-Net; (g) DCPDN; (h) MsCNN; (i) proposed algorithm; (j) standard fog free images
    Partial experimental results of different aogorithms on I-Hazy and O-Hazy datasets. (a) Hazy images; (b) DCP; (c) DehazeNet; (d) GFN; (e) AOD-Net; (f) GCA-Net; (g) DCPDN; (h) MsCNN; (i) proposed algorithm; (j) standard fog free images
    Fig. 9. Partial experimental results of different aogorithms on I-Hazy and O-Hazy datasets. (a) Hazy images; (b) DCP; (c) DehazeNet; (d) GFN; (e) AOD-Net; (f) GCA-Net; (g) DCPDN; (h) MsCNN; (i) proposed algorithm; (j) standard fog free images
    Dehazing effects of different loss functions. (a) Hazy image; (b) L1SSIM; (c) perceived loss; (d) LMS-SSIM; (e) L1SSIM+perceived loss; (f) perceived loss+LMS-SSIM; (g) L1SSIM+LMS-SSIM; (h) L1SSIM+perceived loss+LMS-SSIM; (i) proposed algorithm
    Fig. 10. Dehazing effects of different loss functions. (a) Hazy image; (b) L1SSIM; (c) perceived loss; (d) LMS-SSIM; (e) L1SSIM+perceived loss; (f) perceived loss+LMS-SSIM; (g) L1SSIM+LMS-SSIM; (h) L1SSIM+perceived loss+LMS-SSIM; (i) proposed algorithm
    Dehazing effects of different modules. (a) Hazy image; (b) SUAM; (c) MPFF; (d) SUAM+MPFF; (e) SUAM+MPFF+Bi-GFF
    Fig. 11. Dehazing effects of different modules. (a) Hazy image; (b) SUAM; (c) MPFF; (d) SUAM+MPFF; (e) SUAM+MPFF+Bi-GFF
    AlgorithmPSNR /dBSSIM
    RESIDE SOTS IndoorRESIDE SOTS OutdoorI-HAZYO-HAZYRESIDE SOTS IndoorRESIDE SOTS OutdoorI-HAZYO-HAZY
    DCP17.3615.2113.8614.250.80110.79680.56800.6496
    DehazeNet22.2319.8313.4813.640.84620.81260.53080.6136
    GFN22.7819.7216.3317.740.85350.83690.72350.7663
    AOD-Net20.2818.5715.3515.450.80270.78730.62330.5849
    GCA-Net30.0327.6318.1720.900.95560.93790.78580.8036
    DCPDN15.8214.7713.3814.600.79180.78320.53550.6323
    MsCNN22.8019.7216.7815.870.90710.83680.65600.5002
    Proposed32.8030.5721.7325.270.96020.94410.82710.8419
    Table 1. PSNR and SSIM of different dehazing algorithms on different datasets
    Loss functionPSNR /dBSSIM
    L1SSIM24.360.8339
    Perceived loss23.100.8153
    LMS-SSIM24.700.8330
    L1SSIM+perceived loss24.380.8356
    Perceived loss+LMS-SSIM23.890.8250
    L1SSIM+ LMS-SSIM24.470.8362
    L1SSIM+perceived loss+LMS-SSIM25.270.8419
    Table 2. Ablation experimental results of different loss functions
    ModulePSNR /dBSSIMAverage time /s
    SUAM23.920.83170.31
    MPFF24.190.82530.24
    SUAM+MPFF24.660.83550.26
    SUAM+MPFF+Bi-GFF25.270.84190.28
    Table 3. Ablation experimental results of different modules