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Université Jean Monnet – Saint-Etienne |  |
Conference papers
BLIND DECONVOLUTION OF VIDEO SEQUENCES
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.
Cited literature [12 references]
https://hal-ujm.archives-ouvertes.fr/ujm-00293656
Contributor : Ferréol Soulez <>
Submitted on : Monday, July 7, 2008 - 11:29:37 AM
Last modification on : Monday, January 13, 2020 - 5:46:03 PM
Document(s) archivé(s) le : Monday, October 1, 2012 - 10:51:08 AM
Contributor : Ferréol Soulez <>
Submitted on : Monday, July 7, 2008 - 11:29:37 AM
Last modification on : Monday, January 13, 2020 - 5:46:03 PM
Document(s) archivé(s) le : Monday, October 1, 2012 - 10:51:08 AM
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Video_icip-CR.pdf
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