Blur-kernel Estimation From Spectral Irregularities

Abstract

A method for deriving a blur kernel from a blurred image is provided herein. The method may include the following steps: obtaining a blurred image B, being a product of a blur kernel k applied to an original image I; calculating fθ(x)=Rd*Pθ(B)(x) for every angle θ, wherein R denotes an autocorrelation operator, Pθ denotes a projection operator of based on angle θ, and d denotes a one dimensional differentiation filter; estimating spectral power of the blur kernel based on a given support parameter; estimating the blur kernel k using a phase retrieval algorithm, based on the estimated spectral power of the blur kernel; updating the support parameters; and repeating the estimating of the spectral power, the estimating of the kernel and the updating of the support parameters in an iterative, to yield the blur kernel.


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Document History
  • Publication: Apr 14, 2015
  • Application: Jun 25, 2013
    US US 201313926756 A
  • Priority: Jun 25, 2013
    US US 201313926756 A
  • Priority: Jun 25, 2012
    US US 201261663747 P

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