Research map / Image generation / Image restoration
Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| unified gradient/intensity two-path network PMGI instead of task-specific fusion methods | infrared-visible fusion · 17 image pairs | EN, SCD, CC, SD | Helped |
| PMGI instead of GTF/FusionGAN | infrared-visible fusion · 17 image pairs | MI | Hurt |
| PMGI instead of existing methods | multi-exposure fusion · 19 image pairs | EN, SCD, CC, SD, MI | Helped |
| PMGI instead of existing methods | multi-focus fusion · 18 image pairs | multiple metrics | Mixed |
| PMGI instead of CNN multi-focus method | multi-focus fusion · multi-focus test | run time (s): 105.4371 -> 0.0691 | Helped |
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