Xuguang Zhu, Nan Jiang. Image Dehazing Algorithm Based on Multi-Dimensional Attention Feature Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(8): 0837004

Search by keywords or author
- Laser & Optoelectronics Progress
- Vol. 62, Issue 8, 0837004 (2025)

Fig. 1. Overall architecture of MAFF-Net

Fig. 2. Structure of channel attention module

Fig. 3. Structure of spatial attention module

Fig. 4. Structure of pixel attention module

Fig. 5. Structure of MPFF module

Fig. 6. Structure of Bi-GFF module

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

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

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

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

Fig. 11. Dehazing effects of different modules. (a) Hazy image; (b) SUAM; (c) MPFF; (d) SUAM+MPFF; (e) SUAM+MPFF+Bi-GFF
|
Table 1. PSNR and SSIM of different dehazing algorithms on different datasets
|
Table 2. Ablation experimental results of different loss functions
|
Table 3. Ablation experimental results of different modules

Set citation alerts for the article
Please enter your email address