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

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

673

Lastpage

676

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4711844

Filename

4711844