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For example, the sharpness value of 50 for Content 3 is not the same as the sharpness value of 50 for the other contents.
Marziliano et al. [29] calculated the sharpness value using the edge-intensity profiles after Sobel filtering.
The overall sharpness value is the average value of m correspondence blocks.
It is worth noting that much of the image noise is also related to the high frequencies and may cause miscalculation of sharpness value.
This may be a mean-filter, a min-filter, or a filter ranked between these two, depending on the local sharpness value and the sharpness dependent weighting function selected.
where s i,j) is the sharpness value of image I at (i,j), and μ A i,j) the mean value of I at pixel locations in A i,j).
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Figure 6 Subjective sharpness values for Datasets I and II.
The sharpness and contrast values are for comparing the contrast and sharpness values of reconstructed images with those of the original images.
Caviedes and Gurbuz [33] calculated sharpness values using the kurtosis of DCT values from an edge neighborhood.
which denotes the sum of the blur probabilities of all edge blocks with the best sharpness values.
This noise may cause miscalculation of sharpness values, which in turn, degrade the performance of image fusion.
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