Research Article
Medical Image Fusion Based on Feature Extraction and Sparse Representation
Table 1
The objective evaluation and running time for CT and MR image fused results of all methods.
| ā | | | | | MI |
| NSCT [1] | 0.5960 | 0.7511 | 0.5707 | 0.5857 | 4.6665 | NSCT [6] | 0.5958 | 0.7554 | 0.5793 | 0.5892 | 4.6711 | JSR [12] | 0.6493 | 0.8148 | 0.6296 | 0.5838 | 3.6120 | SR + NSCT [15] | 0.6611 | 0.8477 | 0.6249 | 0.6447 | 4.0421 | SR + NSCT [18] | 0.6527 | 0.8161 | 0.5572 | 0.5866 | 3.6371 | SR + SM | 0.6566 | 0.8466 | 0.6992 | 0.6630 | 4.5467 | SR + EM | 0.6643 | 0.8355 | 0.6919 | 0.6477 | 4.2687 | SR + SEM | 0.6679 | 0.8477 | 0.7043 | 0.6677 | 4.6721 |
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