Image analysis – Histogram processing
Reexamination Certificate
2008-07-17
2011-11-29
Koziol, Stephen (Department: 2624)
Image analysis
Histogram processing
C382S100000, C382S254000, C382S276000
Reexamination Certificate
active
08068668
ABSTRACT:
A method for estimating if an image (14) is either blurred or sharp includes the steps of (i) determining an image gradient histogram distribution (410) of at least a portion of the image (14), and (ii) comparing at least a portion of the image gradient histogram distribution (410) to a Gaussian model gradient histogram distribution (414) of at least a portion of the image (14) to estimate if the image (14) is either blurred or sharp. In most cases, a sharp image (14) has a relatively large tailed distribution when compared to the Gaussian model, while a blurred image has a relatively small tailed distribution when compared to the Gaussian model.
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Koziol Stephen
Nikon Corporation
Roeder & Broder LLP
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