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evaluate the multi-focus image fusion result objectively. Corresponding experimental
results are shown in following figures.
The first data set for evaluation consists of 61 images for a mantis. Three images of
them are showed in figure 3(a), 3(b) and 3(c). Every image in the data set has differ-
ent focus region as the small oval indicates. The fused image generated by the pro-
posed method is shown in figure 3(d). It can be seen that those out-of-focus regions in
three images are all in-focus in figure 3(d).
Fig. 3. Three images of the first data set and fused result
For comparison, the fusion results generated by average fusion, wavelet fusion and
pyramid fusion are shown in figure 4.
Fig. 4. Fusion results generated by different methods
Table 1 presents a quantitative comparison of various multi-focus fusion methods
for this data set. The evaluation order is figure 4(a), 4(b) and 4(c). These fusion me-
thods consists of average based method, wavelet based method and pyramid based
method in terms of standard deviation, information entropy and average gradient.
From table 1, wavelet based method has maximum value in terms of standard devia-
tion, and pyramid based method has maximum values in terms of other two columns.
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