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Based on Figure 8b, the selected correspondence block affects performance.
It is obvious that correspondence block searching using only pixel-coordinate values does not work.
The proposed sharpness metric was calculated using a single correspondence block.
Figure 3 Correspondence block searching using only the pixel-coordinate values is inaccurate.
The SIFT algorithm is robust and finds correspondence blocks well, but the correspondence block edge areas can include structures from outside the original candidate-block area.
When m = 1, the proposed sharpness metric used only the correspondence block of the candidate block with the highest sharpness (i = 1).
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The "Correspondence areas" component locates correspondence blocks with the aid of the correspondence features.
The block size of the correspondence blocks was 100 pixels, and the proposed metric used five correspondence blocks for the calculations (M = 100, m = 5).
Figure 4 The centers of the correspondence blocks are approximated from the correspondence feature points.
The sharpness metric uses m correspondence blocks linked to the m highest-valued candidate blocks.
The overall sharpness value is the average value of m correspondence blocks.
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