BLIND DECONVOLUTION OF VIDEO SEQUENCES

被引：1

作者：

Soulez, Ferreol ^{[1
,2
]}

Thiebaut, Eric ^{[1
]}

Tourneur, Yves ^{[3
]}

Gressard, Alain

Dauphin, Raphael ^{[4
]}

机构：

[1] Univ Lyon 1, CNRS, UMR 5574, Ecole Normale Super Lyon,Observ Lyon,Ctr Rech Ast, 9 Ave Charles Andre, F-69561 St Genis Laval, France

[2] Univ St Etienne, CNRS, UMR 5516, Lab Hubert Curien ex-LTSI, F-42000 St Etienne, France

[3] Univ Lyon, Ctr Commun Quantimetrie, F-69373 Lyon 08, France

[4] Hospices Civiles Lyon, Serv Cardiol Hop Croix Rousse, Lyon, France

来源：

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

关键词：

blind deconvolution; denoising; image reconstruction; video signal processing;

D O I：

10.1109/ICIP.2008.4711844

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a new blind deconvolution method for video sequence. It is derived following an inverse problem approach in a Bayesian framework. This method exploits the temporal continuity of both object and PSF. Combined with edge-preserving spatial regularization, a temporal regularization constrains the blind deconvolution problem, improving its effectiveness and its robustness. We demonstrate these improvements by processing various real video sequences obtained by different imaging techniques.

引用

页码：673 / 676

页数：4

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