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For the focused regions, the difference between the source image and the fused image should be zero.
The results of fusion mutual information (MI) between the source image and the fused image are shown in Table 2 [3].
In the formula (16), (MI(I_{i},I_{f} )) is defined as formula (17), and the joint histogram between the source image (I_{i}) and the fused image (I_{f}) is defined as (h(I_{i},I_{f} )).
Table 4 The fused mutual information between the source image and the fused images SSIM Figure 10a Figure 10b Figure 10c Proposed fused image 0.9541 0.9069 0.8235 DWT fuse image 0.9229 0.9402 0.9150 Contrast pyramid image 0.9270 0.9270 0.9270.
Table 3 The fused mutual information between the source image and the fused images The fused mutual information Proposed fused image DWT fused image Contrast pyramid image FQI 0.5719 0.5719 0.5719.
Table 2 The fusion mutual information between the source image and the fused images MI Figure 11a Figure 11b Figure 10c Figure 11a c Proposed fuse image 5.85 6.77 6.93 19.55 DWT fuse image 6.85 7.22 7.42 21.50 Contrast pyramid image 6.93 7.321.890 21.89.
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The cross entropy is used to measure the difference between the source images and the fused image.
Next, a two-layer bipartite graph is constructed where the first layer represents linkages between the source images and the image tags.
The mutual information value shows the similarity between the fusion image and the source image.
In this work, DASVM [77] is used due to the distribution differences between the captured keyframe and the source image.
The tool then fits the source image.
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