Abstract : 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.
Type de document :
Communication dans un congrès
15th International Conférence on Image Processing, Oct 2008, San Diego, United States. pp.0, 2008
https://hal-ujm.archives-ouvertes.fr/ujm-00293656
Contributeur : Ferréol Soulez
<>
Soumis le : lundi 7 juillet 2008 - 11:29:37
Dernière modification le : mardi 18 décembre 2018 - 11:36:01
Document(s) archivé(s) le : lundi 1 octobre 2012 - 10:51:08
Ferréol Soulez, Éric Thiébaut, Yves Tourneur, Alain Gressard, Raphaël Dauphin. BLIND DECONVOLUTION OF VIDEO SEQUENCES. 15th International Conférence on Image Processing, Oct 2008, San Diego, United States. pp.0, 2008. 〈ujm-00293656〉
