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.
https://hal-ujm.archives-ouvertes.fr/ujm-00293656
Contributor : Ferréol Soulez
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Submitted on : Monday, July 7, 2008 - 11:29:37 AM
Last modification on : Friday, April 5, 2019 - 8:04:54 PM
Long-term archiving on : Monday, October 1, 2012 - 10:51:08 AM
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. ⟨ujm-00293656⟩
