Research Article
Infrared and Visible Image Fusion with Hybrid Image Filtering
Table 2
Fusion evaluation indicators for different algorithms for “NATO camp” and “Kaptein man.”
| Method | NATO camp | Kaptein man | QAB/F | NFMI | VIFF | EN | MS-SSIM | SD | QAB/F | NFMI | VIFF | EN | MS-SSIM | SD |
| GFF | 0.533 | 0.903 | 0.173 | 6.663 | 0.704 | 27.433 | 0.545 | 0.942 | 0.280 | 6.858 | 0.879 | 32.898 | CP | 0.481 | 0.886 | 0.403 | 6.824 | 0.870 | 32.776 | 0.455 | 0.935 | 0.333 | 6.632 | 0.919 | 34.143 | TSSD | 0.434 | 0.889 | 0.398 | 6.469 | 0.927 | 26.380 | 0.448 | 0.932 | 0.371 | 6.648 | 0.933 | 33.347 | GTTV | 0.405 | 0.885 | 0.218 | 6.694 | 0.787 | 27.380 | 0.408 | 0.906 | 0.316 | 6.683 | 0.836 | 38.173 | CSR | 0.463 | 0.898 | 0.331 | 6.335 | 0.890 | 24.462 | 0.314 | 0.937 | 0.184 | 6.957 | 0.798 | 32.259 | WLS | 0.417 | 0.891 | 0.350 | 6.374 | 0.906 | 24.479 | 0.580 | 0.928 | 0.213 | 6.967 | 0.831 | 32.254 | MVFMF | 0.511 | 0.904 | 0.222 | 6.563 | 0.721 | 26.482 | 0.511 | 0.942 | 0.308 | 6.593 | 0.910 | 35.139 | CBF | 0.389 | 0.871 | 0.273 | 6.450 | 0.740 | 26.016 | 0.388 | 0.897 | 0.199 | 6.777 | 0.733 | 33.193 | TDMTD | 0.402 | 0.885 | 0.175 | 6.600 | 0.752 | 26.727 | 0.468 | 0.938 | 0.225 | 6.766 | 0.843 | 35.712 | LLRR | 0.312 | 0.886 | 0.414 | 6.779 | 0.849 | 31.343 | 0.328 | 0.934 | 0.350 | 7.154 | 0.858 | 45.318 | CoF | 0.390 | 0.890 | 0.330 | 6.733 | 0.831 | 30.130 | 0.406 | 0.938 | 0.287 | 7.139 | 0.892 | 50.986 | GF-ICoF | 0.547 | 0.916 | 0.424 | 6.790 | 0.926 | 32.020 | 0.562 | 0.942 | 0.357 | 7.172 | 0.923 | 51.693 |
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