Blind deconvolution of video sequences

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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.

Ferreol Soulez, Eric Thiebaut, Yves Tourneur, Alai

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Blind Deconvolution | Blind Deconvolution Method | ICIP 2008 | Image Processing | Video Sequences |

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Added	30 May 2010
Updated	30 May 2010
Type	Conference
Year	2008
Where	ICIP
Authors	Ferreol Soulez, Eric Thiebaut, Yves Tourneur, Alain Gressard, Raphael Dauphin

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Blind deconvolution of video sequences

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