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

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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Submitted on : Friday, May 31, 2013 - 10:46:30 AM
Last modification on : Saturday, January 15, 2022 - 3:55:57 AM
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  • HAL Id : hal-00827521, version 1


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. ⟨hal-00827521⟩



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