Research Article
Infrared and Visible Image Fusion with Hybrid Image Filtering
Table 5
Fusion evaluation indicators for different algorithms for “crowds” and “backpacker.”
| Method | Crowds | Backpacker | QAB/F | NFMI | VIFF | EN | MS-SSIM | SD | QAB/F | NFMI | VIFF | EN | MS-SSIM | SD |
| GFF | 0.627 | 0.915 | 0.426 | 7.357 | 0.886 | 47.692 | 0.593 | 0.869 | 0.291 | 7.245 | 0.844 | 37.960 | CP | 0.587 | 0.910 | 0.610 | 7.126 | 0.934 | 43.394 | 0.525 | 0.851 | 0.358 | 7.490 | 0.786 | 44.898 | TSSD | 0.513 | 0.901 | 0.530 | 6.884 | 0.942 | 39.869 | 0.484 | 0.852 | 0.367 | 6.938 | 0.856 | 31.128 | GTTV | 0.391 | 0.911 | 0.267 | 7.277 | 0.813 | 47.854 | 0.423 | 0.851 | 0.214 | 7.319 | 0.714 | 43.100 | CSR | 0.555 | 0.912 | 0.460 | 6.814 | 0.923 | 38.998 | 0.543 | 0.866 | 0.313 | 6.851 | 0.863 | 29.101 | WLS | 0.531 | 0.904 | 0.458 | 6.829 | 0.923 | 38.854 | 0.490 | 0.856 | 0.318 | 6.832 | 0.863 | 28.546 | MVFMF | 0.638 | 0.915 | 0.466 | 7.412 | 0.899 | 49.064 | 0.597 | 0.868 | 0.273 | 7.505 | 0.818 | 44.921 | CBF | 0.526 | 0.906 | 0.504 | 7.280 | 0.839 | 44.999 | 0.447 | 0.808 | 0.273 | 7.544 | 0.606 | 45.049 | TDMTD | 0.548 | 0.910 | 0.316 | 7.148 | 0.839 | 45.578 | 0.468 | 0.859 | 0.176 | 6.874 | 0.710 | 35.952 | LLRR | 0.384 | 0.899 | 0.507 | 7.292 | 0.850 | 49.598 | 0.395 | 0.845 | 0.326 | 7.422 | 0.839 | 45.265 | CoF | 0.503 | 0.909 | 0.544 | 6.989 | 0.903 | 41.952 | 0.461 | 0.851 | 0.218 | 6.978 | 0.731 | 44.146 | GF-ICoF | 0.651 | 0.916 | 0.596 | 7.450 | 0.923 | 49.601 | 0.586 | 0.865 | 0.332 | 7.459 | 0.864 | 45.591 |
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