Research Article
Suspect Multifocus Image Fusion Based on Sparse Denoising Autoencoder Neural Network for Police Multimodal Big Data Analysis
Table 2
The objective metrics of different fusion approaches for image “tree”.
| Method | EN | | CC | VIFF |
| DE | 7.4493 | 0.8894 | 0.9721 | 0.8625 | NFBD | 7.4512 | 0.8942 | 0.9738 | 0.8756 | GDMC | 7.4528 | 0.8953 | 0.9742 | 0.8747 | LRRW | 7.4538 | 0.8974 | 0.9758 | 0.8827 | NNSR | 7.4688 | 0.8995 | 0.9763 | 0.8875 | CFM | 7.4848 | 0.9027 | 0.9778 | 0.8957 | FRL-PCNN | 7.5128 | 0.9037 | 0.9781 | 0.8998 | Proposed | 7.6456 | 0.9122 | 0.9829 | 0.9025 |
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