Optics and Precision Engineering, Volume. 31, Issue 21, 3212(2023)
Underwater polarization image fusion based on unsupervised learning and attention mechanisms
Figures & Tables(9)
Fig. 3. Network architecture of under-water polarized image fusion algorithm
Fig. 6. Comparison of fusion results of different methods for partial test set images
Table 1. Network structure configuration of under-water polarized image fusion algorithm
View tableView in ArticleTable 1. Network structure configuration of under-water polarized image fusion algorithm
Modules Inputs Layers Convolution kernel size Input channel Output channel Activation functions Outputs Feature extraction S0 Conv 3×3 1 16 ReLU Conv 3×3 16 16 ReLU Conv
Conv
3×3
3×3
32
48
16
16
ReLU
ReLU
AttentionBlock - 64 128 ReLU DoLP Conv 3×3 1 16 ReLU Conv 3×3 16 16 ReLU Conv 3×3 32 16 ReLU Conv 3×3 48 16 ReLU AttentionBlock - 64 128 ReLU Feature fusion Concat - 128×2 256 - Ffused Image reconfiguration Ffused Conv 3×3 256 128 ReLU Conv 3×3 128 64 ReLU Conv 3×3 64 32 ReLU Conv 3×3 32 16 ReLU Conv 3×3 16 1 - If
Table 2. Quantitative results of polarization image fusion by different methods
View tableView in ArticleTable 2. Quantitative results of polarization image fusion by different methods
Method EN SD MI SSIM CVT 6.112 3 17.87 0.737 4 0.495 3 GTF 6.981 8 42.62 1.272 5 0.354 2 MSVD 6.059 1 17.11 0.757 4 0.495 9 RP 6.481 5 21.93 0.360 0 0.240 9 Wavelet 6.083 4 18.21 1.471 7 0.504 9 Hidden Attention 7.284 1 37.96 1.617 3 0.503 3 Proposed method 7.307 3 40.46 1.680 8 0.518 6
Table 3. Operating time of different methods
View tableView in ArticleTable 3. Operating time of different methods
Method Operating time/s CVT 1.042 0 GTF 0.068 0 MSVD 0.356 8 RP 0.082 0 Wavelet 0.508 6 Ours 0.051 0
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Wenzhe GONG, Jinkui CHU, Haoyuan CHENG, Ran ZHANG. Underwater polarization image fusion based on unsupervised learning and attention mechanisms[J]. Optics and Precision Engineering, 2023, 31(21): 3212
Paper Information
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Received: Feb. 23, 2023
Accepted: --
Published Online: Jan. 5, 2024
The Author Email: ZHANG Ran (zhangr@dlut.edu.cn)
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