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;
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
收藏
页码：661 / 664
页数：4
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