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A Dual Block Coordinate Proximal Algorithm with Application to Deconvolution of Interlaced Video Sequences

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Citation Author(s):
Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot and Louis Laborelli
Submitted by:
Feriel Abboud
Last updated:
23 February 2016 - 1:38pm
Document Type:
Poster
Document Year:
Event:
Presenters Name:
Feriel Abboud

Abstract 

Abstract: 

Inverse problems encountered in video processing often require to minimize criteria involving a high number of variables. Among available optimization techniques, proximal methods have shown their efficiency in solving large-scale possibly nonsmooth problems. When some of the proximity operators involved in these methods do not have closed form expressions, they may constitute a bottleneck in terms of computational complexity and memory
requirements. In this paper, we address this problem and propose accelerated techniques for solving it. A new dual block-coordinate forward-backward algorithm computing the proximity operator of a sum of convex functions composed with linear operators is proposed and theoretically analyzed.
The numerical performance of the approach is assessed through an application to deconvolution and super-resolution of interlaced video sequences.

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Poster_ICIP.pdf

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