ESTIMATING SPACE-VARIANT MOTION BLUR WITHOUT DEBLURRING

被引：11

作者：

Dai, Shengyang ^{[1
]}

Wu, Ying ^{[1
]}

机构：

[1] Northwestern Univ, Dept EECS, Evanston, IL 60208 USA

来源：

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年

关键词：

space-variant blur; blind identification; IMAGE-RESTORATION; DECONVOLUTION;

D O I：

10.1109/ICIP.2008.4711841

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Identifying space-variant motion blurs is a very challenging task in blind blur identification research. This paper describes a novel method towards blind identification without deblurring. Based on the image gradients in the a-channel component of a blurred color image, an elegant a-motion blur constraint is proposed, which is a linear constraint for local motion blur parameters. It makes possible efficient blind identification of space-variant and even nonlinear motion blurs and the estimation of motion blur fields, without deblurring.

引用

页码：661 / 664

页数：4

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