Table 2 The evaluation results of nine evaluation metrics for example fused image.
From: A new generative method for multi-focus image fusion of underwater micro bubbles
Methods | EN \(\uparrow\) | MI \(\uparrow\) | NMI \(\uparrow\) | PSNR\(\uparrow\) | AG \(\uparrow\) | \(Q^{AB/F}\) \(\uparrow\) | SD\(\uparrow\) | EI\(\uparrow\) | SSIM \(\uparrow\) |
|---|---|---|---|---|---|---|---|---|---|
LP14 | 2.3432 | 1.4576 | 4.6200 | 85.8374 | 0.2760 | 0.5580 | 5.6606 | 1.4180 | 0.9317 |
CVT38 | 2.4101 | 1.5210 | 4.5994 | 85.9928 | 0.2589 | 0.4643 | 5.3800 | 1.3359 | 0.9377 |
DT-CWT39 | 2.4109 | 1.5502 | 4.6094 | 85.9805 | 0.2704 | 0.51.1 | 5.3797 | 1.3408 | 0.9386 |
GF40 | 2.8099 | 1.6891 | 4.2903 | 86.2876 | 0.3213 | 0.6313 | 5.5037 | 1.5879 | 0.9451 |
IMF40 | 2.8504 | 1.8573 | 4.2958 | 85.3845 | 0.3223 | 0.5571 | 5.8951 | 1.6064 | 0.9402 |
MWG41 | 2.8405 | 2.0561 | 4.3303 | 85.1855 | 0.3114 | 0.6328 | 6.0263 | 1.5293 | 0.9368 |
CNN42 | 2.4178 | 1.6969 | 4.6447 | 85.3974 | 0.2653 | 0.5813 | 5.2894 | 1.3730 | 0.9368 |
Deep fuse43 | 2.3443 | 1.4981 | 11.1232 | 69.1082 | 0.2274 | 0.3186 | 3.2699 | 1.2060 | 0.1541 |
MUFusion44 | 2.5962 | 1.5792 | 4.4346 | 86.0436 | 0.1828 | 0.2859 | 5.6025 | 1.1259 | 0.9335 |
SESF45 | 2.6406 | 1.4422 | 4.3243 | 85.0725 | 0.3712 | 0.5700 | 5.9045 | 1.7695 | 0.9300 |
SwinFusion46 | 1.0249 | 0.6052 | 6.0470 | 85.3044 | 0.1386 | 0.2850 | 5.0804 | 0.5869 | 0.8140 |
ZMFF47 | 0.2853 | 1.4790 | 4.6581 | 84.9849 | 0.1769 | 0.3655 | 6.1039 | 1.0966 | 0.9172 |
FusionDiff11 | 2.4866 | 1.0305 | 3.9864 | 82.7706 | 0.2742 | 0.4484 | 6.2695 | 1.4707 | 0.8995 |
RCFusion | 2.5625 | 1.6412 | 4.4319 | 84.9812 | 0.2021 | 0.3760 | 6.5761 | 1.2187 | 0.9315 |
