Blind deconvolution of video sequences

14 years 5 months ago

Download quantimetrie.univ-lyon1.fr

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

Real-time Traffic

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

claim paper

» Superresolution and blind deconvolution of video

» Deconvolutive Clustering of Markov States

» Double Regularized Bayesian Estimation for Blur Identification in Video Sequences

» Blind Audiovisual Source Separation using Sparse Representations

» Blind Estimation of PSF for Out of Focus Video Data

» TextTracking Wearable Camera System for the Blind

» Blind audiovisual separation based on redundant representations

» A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video

Post Info
More Details (n/a)

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

Comments (0)

Sciweavers

Blind deconvolution of video sequences

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

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers