Adaptive lifting schemes with a global L1 minimization technique for image coding

Mounir Kaaniche 1 Beatrice Pesquet-Popescu 1 Jean-Christophe Pesquet 2 Amel Benazza-Benyahia 3
1 LTCI - Laboratoire Traitement et Communication de l'Information
2 LIGM - Laboratoire d'Informatique Gaspard-Monge
3 SUP'COM [TUNIS] - Ecole supérieure des télécommunications de Tunis
Abstract : Many existing works related to lossy-to-lossless image compression are based on the lifting concept. In this paper, we present a sparse op- timization technique based on recent convex algorithms and applied to the prediction filters of a two-dimensional non separable lifting structure. The idea consists of designing these filters, at each resolution level, by minimizing the sum of the ℓ1-norm of the three detail subbands. Extending this optimization method in order to perform a global minimization over all resolution levels leads to a new opti- mization criterion taking into account linear dependencies between the generated coefficients. Simulations carried out on still images show the benefits which can be drawn from the proposed optimization techniques.
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Communication dans un congrès
IEEE International Conference on Image Processing, Oct 2012, United States. pp.2461-2464, 2012
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UPEC-UPEM | UNIV-MLV | PARISTECH | LIGM_SIGNAL | LIGM | ENPC | INSTITUT-TELECOM | LTCI

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Mounir Kaaniche, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet, Amel Benazza-Benyahia. Adaptive lifting schemes with a global L1 minimization technique for image coding. IEEE International Conference on Image Processing, Oct 2012, United States. pp.2461-2464, 2012. 〈hal-00827521〉

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