Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0401002(2024)
Parallel Multi Scale Attention Mapping Image Dehazing Algorithm
Fig. 5. Attention module feature map visualization. (a) Hazy image; (b) attention module output feature map
Fig. 7. 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
Fig. 8. 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
Fig. 9. Comparison chart of PSNR and SSIM results of different algorithms on SOTS dataset. (a) PSNR; (b) SSIM
Fig. 10. Comparison chart of Entropy,FADE,VIF,AG results of different algorithms on HSTS dataset. (a) Entropy; (b) FADE; (c) VIF; (d) AG
Fig. 11. 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
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Heng Yuan, Tinghao Yan. Parallel Multi Scale Attention Mapping Image Dehazing Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0401002
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)
CSTR:32186.14.LOP230921