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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.
Cited literature [19 references]
https://hal.archives-ouvertes.fr/hal-00827521
Contributor : Mounir Kaaniche Connect in order to contact the contributor
Submitted on : Friday, May 31, 2013 - 10:46:30 AM
Last modification on : Saturday, January 15, 2022 - 3:55:57 AM
Long-term archiving on: : Sunday, September 1, 2013 - 3:05:10 AM
Contributor : Mounir Kaaniche Connect in order to contact the contributor
Submitted on : Friday, May 31, 2013 - 10:46:30 AM
Last modification on : Saturday, January 15, 2022 - 3:55:57 AM
Long-term archiving on: : Sunday, September 1, 2013 - 3:05:10 AM
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lifting_opt_global_final.pdf
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