Blind deconvolution of video sequences

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: Conference
• Year: 2008
• Where: ICIP
• Authors: Ferreol Soulez, Eric Thiebaut, Yves Tourneur, Alain Gressard, Raphael Dauphin
• Keywords: Blind Deconvolution, Blind Deconvolution Method, ICIP 2008, Image Processing, Video Sequences