SINGLE IMAGE LOCAL BLUR IDENTIFICATION

被引：0

作者：

Trouve, P. ^{[1
]}

Champagnat, F. ^{[1
]}

Le Besnerais, G. ^{[1
]}

Idier, J. ^{[2
]}

机构：

[1] ONERA French Aerosp Lab, F-91761 Palaiseau, France

[2] LUNAM Univ, IRCCyN, CNRS UMR 6597, F-44321 Nantes 3, France

来源：

2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年

关键词：

Blur identification; motion blur; depth from defocus; spatially varying blur; coded aperture; DECONVOLUTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a new approach for spatially varying blur identification using a single image. Within each local patch in the image, the local blur is selected between a finite set of candidate PSFs by a maximum likelihood approach. We propose to work with a Generalized Likelihood to reduce the number of parameters and we use the Generalized Singular Value Decomposition to limit the computing cost, while making proper image boundary hypotheses. The resulting method is fast and demonstrates good performance on simulated and real examples originating from applications such as motion blur identification and depth from defocus.

引用

页码：613 / 616

页数：4

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