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.
Type de document :
Communication dans un congrès
IEEE International Conference on Image Processing, Oct 2012, United States. pp.2461-2464, 2012
https://hal.archives-ouvertes.fr/hal-00827521
Contributeur : Mounir Kaaniche <>
Soumis le : vendredi 31 mai 2013 - 10:46:30
Dernière modification le : jeudi 9 février 2017 - 15:02:34
Document(s) archivé(s) le : dimanche 1 septembre 2013 - 03:05:10
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>
