Table 3 Quantitative comparison of methods on the MSRS dataset.
From: Texture-preserving and information loss minimization method for infrared and visible image fusion
Methods | Year | MI | VIF | AG | CC | SCD | EN | QAB/F | SF |
|---|---|---|---|---|---|---|---|---|---|
DDcGAN45 | 2020 | 1.8444 | 0.5747 | 4.5061 | 0.6303 | 1.1485 | 7.3152 | 0.3640 | 11.9985 |
PMGI46 | 2020 | 2.1880 | 0.7230 | 2.9615 | 0.7301 | 1.0618 | 6.2421 | 0.4172 | 8.2757 |
NestFuse47 | 2020 | 2.4215 | 0.7290 | 3.0975 | 0.6141 | 1.0907 | 6.5043 | 0.5487 | 9.7199 |
RFN-Nest48 | 2021 | 2.4599 | 0.6558 | 2.1151 | 0.7283 | 1.2313 | 6.1958 | 0.3940 | 6.1634 |
SDNet49 | 2021 | 1.7245 | 0.5015 | 2.6762 | 0.7026 | 0.7477 | 5.2460 | 0.3797 | 8.6730 |
MFEIF23 | 2021 | 2.1305 | 0.7592 | 2.6049 | 0.6330 | 1.0275 | 5.8004 | 0.5533 | 8.0698 |
TarDAL44 | 2022 | 2.3532 | 0.6732 | 3.1161 | 0.6262 | 1.2068 | 6.3462 | 0.4258 | 9.8841 |
DDFM50 | 2023 | 2.6548 | 0.7429 | 2.5109 | 0.6588 | 1.4492 | 6.0147 | 0.4652 | 7.0861 |
DATFuse51 | 2023 | 2.8922 | 0.6909 | 3.5739 | 0.6887 | 1.2102 | 6.4796 | 0.5050 | 10.9269 |
CDDFuse37 | 2023 | 2.3520 | 0.8510 | 3.7479 | 0.6007 | 1.1210 | 6.7010 | 0.5928 | 11.5564 |
BTSFusion18 | 2024 | 2.2816 | 0.5675 | 4.1242 | 0.6994 | 1.1693 | 6.2910 | 0.4900 | 11.6698 |
SFCFusion52 | 2024 | 3.1097 | 0.7880 | 4.1417 | 0.6878 | 1.2611 | 6.4411 | 0.6402 | 11.7680 |
PromptFusion53 | 2024 | 3.6505 | 0.9142 | 3.5226 | 0.5984 | 1.5124 | 6.6456 | 0.5875 | 9.2697 |
TPFusion(ours) | – | 2.9861 | 0.7901 | 4.9561 | 0.7992 | 1.2787 | 7.1883 | 0.5909 | 11.5292 |
