A hybrid alternating proximal method for blind video restoration

Abstract : Old analog television sequences suffer from a number of degradations. Some of them can be modeled through convolution with a kernel and an additive noise term. In this work, we propose a new blind deconvolution algorithm for the restoration of such sequences based on a variational formulation of the problem. Our method accounts for motion between frames, while enforcing some level of temporal continuity through the use of a novel penalty function involving optical flow operators, in addition to an edge-preserving regularization. The optimization process is performed by a proximal alternating minimization scheme benefiting from theoretical convergence guarantees. Simulation results on synthetic and real video sequences confirm the effectiveness of our method.
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Communication dans un congrès
22th European Signal Processing Conference (EUSIPCO 2014), Sep 2014, Lisbon, Portugal. 2014
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Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli. A hybrid alternating proximal method for blind video restoration. 22th European Signal Processing Conference (EUSIPCO 2014), Sep 2014, Lisbon, Portugal. 2014. 〈hal-01077269〉

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