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Method of estimating blur kernel from edge profiles in a blurry image

Patent image
NRL

A method of deblurring a two-dimensional, blurred image. An edge within the blurred image is detected, and an edge profile of the blurred image is extracted. A length of the edge profile is determined, and a blur kernel size is estimated based thereon. A quantile function is applied to the edge profile, thereby generating quantile function output. A linearity test is performed on the quantile function output, thereby obtaining a preliminary linearity metric. Another quantile function is selected and the applying a quantile function to the edge profile, thereby generating quantile function output, and the performing a linearity test on the quantile function output, thereby obtaining a preliminary linearity metric, is iteratively repeated until a best linearity metric, a best quantile function, and a best quantile function output are determined. A slope of the best quantile function output is determined, and a blurring parameter is determined based thereon. A blur kernel is estimated based on the blurring parameter and the blur kernel size. A sharp image is resolved using the blur kernel.

Inventors: 
Smith, Leslie N.
Patent Number: 
Technical domain: 
IT and Software
FIle Date: 
2011-12-23
Grant Date: 
2013-11-26
Grant time: 
704 days
Grant time percentile rank: 
12
Claim count percentile rank: 
2
Citations percentile rank: 
1
'Cited by' percentile rank: 
1
Assignee: 
US NAVY