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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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Contributor : Emilie Chouzenoux <>
Submitted on : Friday, October 24, 2014 - 12:06:48 PM
Last modification on : Wednesday, February 26, 2020 - 7:06:06 PM
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  • HAL Id : hal-01077269, version 1


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. ⟨hal-01077269⟩



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