Title :
Blind deconvolution of video sequences
Author :
Soulez, Ferréol ; Thiébaut, Éric ; Tourneur, Yves ; Gressard, Alain ; Dauphin, Raphaël
Author_Institution :
Obs. de Lyon, Univ. Lyon 1, Laval
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.
Keywords :
Bayes methods; deconvolution; image reconstruction; image sequences; spatiotemporal phenomena; video signal processing; Bayesian framework; blind deconvolution; edge-preserving spatial regularization; image reconstruction; inverse problem; temporal regularization; video sequences; video signal processing; Bayesian methods; Brightness; Cardiology; Deconvolution; Gaussian noise; Image reconstruction; Inverse problems; Noise reduction; Robustness; Video sequences; blind deconvolution; denoising; image reconstruction; video signal processing;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711844
