Table 2 Quantitative comparison of methods on the TNO 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 | 1.5107 | 0.4451 | 3.9118 | 0.4375 | 1.6226 | 6.9104 | 0.3414 | 12.1566 |
PMGI46 | 2020 | 1.9975 | 0.4635 | 2.5859 | 0.4141 | 1.5263 | 7.0255 | 0.4140 | 8.7531 |
NestFuse47 | 2020 | 2.0934 | 0.5539 | 3.8253 | 0.4468 | 1.5307 | 7.0165 | 0.5053 | 9.7701 |
RFN-Nest48 | 2021 | 1.7597 | 0.4720 | 1.6669 | 0.4480 | 1.6041 | 6.9764 | 0.3334 | 5.8759 |
SDNet49 | 2021 | 1.9096 | 0.4927 | 3.6285 | 0.4111 | 1.5640 | 6.7127 | 0.4337 | 11.7009 |
MFEIF23 | 2021 | 1.8538 | 0.5384 | 2.9083 | 0.4416 | 1.5560 | 6.6650 | 0.4532 | 7.1030 |
TarDAL44 | 2022 | 2.0013 | 0.5333 | 3.9112 | 0.4175 | 1.3856 | 6.8284 | 0.3996 | 10.5084 |
DDFM50 | 2023 | 1.7577 | 0.3185 | 3.4528 | 0.4543 | 1.5455 | 6.8552 | 0.2440 | 7.8717 |
DATFuse51 | 2023 | 2.3187 | 0.5201 | 2.5904 | 0.4221 | 1.4933 | 6.4818 | 0.4976 | 9.6988 |
CDDFuse37 | 2023 | 2.0807 | 0.5419 | 3.8687 | 0.4469 | 1.5686 | 6.9836 | 0.5075 | 11.5175 |
BTSFusion18 | 2024 | 1.3757 | 0.5064 | 4.2795 | 0.4406 | 1.6335 | 6.7130 | 0.4114 | 11.2330 |
SFCFusion52 | 2024 | 1.6566 | 0.5340 | 3.5832 | 0.4665 | 1.6010 | 7.1110 | 0.4296 | 10.7048 |
PromptFusion53 | 2024 | 2.9755 | 0.5709 | 4.1560 | 0.4682 | 1.6882 | 6.9597 | 0.5174 | 11.9845 |
TPFusion(ours) | \(-\) | 2.4564 | 0.5687 | 4.3945 | 0.4687 | 1.6801 | 7.0514 | 0.5213 | 12.1247 |
