Multi-focus Image Fusion on Lytro (test)
0.18Inference Time (s)ND-CNPFuse
Evaluation Results
| Method | Links | |
|---|---|---|
| ND-CNPFuseHardware=i5-13400 CPU, Implementation=C++2025.09 | 0.18 | |
| DMANetHardware=A100 GPU2025.09 | 0.21 | |
| ND-CNPFuseHardware=i5-13400 CPU, Implementation=MATLAB2025.09 | 0.41 | |
| SAMFHardware=i5-13400 CPU2025.09 | 0.43 | |
| DB-MFIFHardware=A100 GPU2025.09 | 0.47 | |
| GIFNetHardware=A100 GPU2025.09 | 0.56 | |
| TC-MoAHardware=A100 GPU2025.09 | 1.24 | |
| PADCDTNPHardware=i5-13400 CPU2025.09 | 1.35 | |
| Mask-DiFuserHardware=A100 GPU2025.09 | 3.61 | |
| DeepM2CDLHardware=A100 GPU2025.09 | 14.35 | |
| CCFHardware=A100 GPU2025.09 | 153.68 |