Optics and Precision Engineering, Volume. 32, Issue 15, 2439(2024)
Visible-polarized image fusion for nighttime dispersal of mines
Figures & Tables(17)
Fig. 8. Fused images of different methods in sandy soil background
Fig. 9. Fused images from different methods in complex environment with multiple deciduous leaves
Fig. 11. Fused images generated by models with different attention mechanisms
Fig. 12. Effect of visible intensity images and fused images on target detection performance
Fig. 13. Detection effect of visible intensity images and fused images in part of the test set
Table 1. Objective evaluation results of fused images by different methods
View tableView in ArticleTable 1. Objective evaluation results of fused images by different methods
Methods SSIM MS-SSIM PSNR MSE EN SD AG SCD VIF Qabf MI SF Our method 0.758 5 0.781 3 27.84 53.21 5.707 19.68 3.819 1.597 0.837 3 0.606 5 2.689 10.69 CVT 0.737 4 0.779 3 25.97 68.19 5.205 13.44 3.803 1.536 0.709 6 0.545 8 1.444 10.46 NSCT 0.742 4 0.780 7 26.01 67.73 5.203 13.54 3.719 1.571 0.778 9 0.584 6 1.549 10.50 SR 0.723 7 0.739 2 28.92 46.26 5.556 19.56 3.337 1.360 0.710 9 0.473 0 2.801 10.05 NSCT-ST 0.731 2 0.742 6 28.96 46.21 5.605 19.57 3.593 1.411 0.739 2 0.512 6 2.811 10.49 FusionGAN 0.608 0 0.702 3 24.51 91.86 5.544 17.92 2.327 1.175 0.500 6 0.205 3 1.375 5.499 DenseFusion 0.677 2 0.746 3 24.98 86.82 5.703 21.95 3.804 1.461 0.819 3 0.485 2 2.623 11.14 PFNet 0.746 8 0.770 5 27.38 57.55 5.381 19.49 3.711 1.501 0.746 5 0.565 3 2.544 14.55
Table 2. Effect of balancing coefficient
α on quality of fused imagesView tableView in ArticleTable 2. Effect of balancing coefficient
α on quality of fused imagesα SSIM MS-SSIM PSNR MSE EN SD AG SCD VIF Qabf MI SF 0 0.755 6 0.784 0 27.18 52.67 5.317 18.44 3.346 1.573 0.799 8 0.545 7 3.082 9.868 0.5 0.746 6 0.775 2 27.86 48.62 5.503 19.61 3.854 1.610 0.910 1 0.645 0 3.004 10.71 1 0.745 1 0.775 4 27.99 47.50 5.512 19.49 3.858 1.640 0.910 4 0.645 7 2.948 10.72 5 0.743 9 0.775 3 27.60 50.59 5.495 19.04 3.838 1.668 0.913 8 0.646 6 3.061 10.71 10 0.739 7 0.774 5 26.78 57.95 5.465 19.03 3.829 1.660 0.909 5 0.646 7 3.003 10.68 100 0.083 9 0.477 6 23.61 109.3 1.810 2.470 0.812 0.410 4 0.030 1 0.066 3 0.493 2 2.579 1000 0.608 2 0.644 5 24.01 101.9 5.334 17.44 3.956 0.532 7 0.758 2 0.631 8 2.712 11.48
Table 3. Effect of different balance coefficients
λ on quality of fused imagesView tableView in ArticleTable 3. Effect of different balance coefficients
λ on quality of fused imagesλ SSIM MS-SSIM PSNR MSE EN SD AG SCD VIF Qabf MI SF 0 0.745 1 0.775 2 27.99 47.50 5.512 19.49 3.858 1.640 0.910 4 0.644 7 2.948 10.71 0.1 0.758 5 0.779 9 27.82 53.55 5.448 19.67 3.812 1.592 0.844 4 0.600 3 2.689 10.72 0.5 0.759 5 0.781 3 27.60 56.74 5.375 19.19 3.770 1.611 0.819 0 0.585 1 2.561 10.63 1 0.759 1 0.779 1 27.75 56.14 5.389 19.66 3.758 1.554 0.813 1 0.576 7 2.515 10.64 10 0.760 4 0.781 5 27.70 57.41 5.329 18.87 3.712 1.574 0.793 1 0.568 7 2.440 10.56 100 0.761 6 0.783 1 27.54 58.34 5.302 18.67 3.695 1.586 0.788 4 0.565 9 2.431 10.51 1 000 0.761 1 0.781 5 27.73 57.32 5.335 19.09 3.707 1.574 0.791 9 0.566 4 2.444 10.54
Table 4. Objective evaluation of model-generated fused images under different attention mechanisms
View tableView in ArticleTable 4. Objective evaluation of model-generated fused images under different attention mechanisms
Fusion module SSIM MS-SSIM PSNR MSE EN SD AG SCD VIF Qabf MI SF Lack of attention 0.516 2 0.738 6 24.43 95.86 3.104 4.154 0.662 4 0.965 2 0.181 0 0.025 1 1.392 2.067 Spatial attention 0.752 4 0.798 6 25.85 70.37 4.863 11.47 2.736 0 1.387 0 0.507 1 0.378 0 1.978 8.059 Channel attention 0.754 4 0.776 6 27.25 57.53 5.408 18.83 3.819 0 1.553 0 0.842 8 0.597 8 2.608 10.66 Mixed attention 0.758 5 0.779 9 27.82 53.55 5.448 19.67 3.812 0 1.592 00.844 3 0.600 3 2.689 10.71
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Kangyu SHEN, Bolun CUI, Qifeng LYU, Chi WANG. Visible-polarized image fusion for nighttime dispersal of mines[J]. Optics and Precision Engineering, 2024, 32(15): 2439
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Received: May. 17, 2024
Accepted: --
Published Online: Sep. 27, 2024
The Author Email: WANG Chi (wangchi@shu.edu.cn)
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