Research Article
Suspect Multifocus Image Fusion Based on Sparse Denoising Autoencoder Neural Network for Police Multimodal Big Data Analysis
Table 6
The objective metrics of different fusion approaches for image “temple”.
| Method | EN | | CC | VIFF |
| DE | 7.2563 | 0.9157 | 0.9687 | 0.8774 | NFBD | 7.2566 | 0.9188 | 0.9688 | 0.8793 | GDMC | 7.2569 | 0.9236 | 0.9702 | 0.8817 | LRRW | 7.2572 | 0.9237 | 0.9711 | 0.8824 | NNSR | 7.2574 | 0.9239 | 0.9714 | 0.8829 | CFM | 7.2579 | 0.9385 | 0.9718 | 0.8836 | FRL-PCNN | 7.2583 | 0.9427 | 0.9724 | 0.8867 | Proposed | 7.2594 | 0.9507 | 0.9791 | 0.8958 |
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