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Adaptive lifting scheme with a global L-1 minimization technique for stereo 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 optimization 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 optimization 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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https://hal.telecom-paris.fr/hal-02411928
Contributor : Telecomparis Hal <>
Submitted on : Sunday, December 15, 2019 - 12:37:53 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:55 PM

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  • HAL Id : hal-02411928, version 1

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Mounir Kaaniche, Beatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Adaptive lifting scheme with a global L-1 minimization technique for stereo image coding. IEEE International Conference on Image Processing, ICIP, Oct 2012, Orlando, United States. ⟨hal-02411928⟩

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