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BLUR-KERNEL ESTIMATION FROM SPECTRAL IRREGULARITIES
BLUR-KERNEL ESTIMATION FROM SPECTRAL IRREGULARITIES
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机译:光谱不规则性的布鲁尔核估计
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摘要
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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机译:本文提供了一种用于从模糊图像导出模糊核的方法。该方法可以包括以下步骤:获得模糊图像B,该模糊图像B是应用于原始图像I的模糊核k的乘积;以及为每个角度θ计算f θ Sub>(x)= R d *Pθ(B) Sub>(x),其中R表示自相关算子P θ Sub>表示基于角度θ的投影算子,d表示一维微分滤波器。基于给定的支持参数估计模糊核的频谱功率;基于所估计的模糊核的频谱功率,使用相位检索算法来估计模糊核k;更新支持参数;并以迭代方式重复频谱功率的估计,核的估计以及支持参数的更新,以产生模糊核。
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