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Conference Papers Year : 2010

Spatial intra-prediction based on mixtures of sparse representations

Abstract

In this paper, we consider the problem of spatial prediction based on sparse representations. Several algorithms dealing with this problem can be found in the literature. We propose a novel method involving a mixture of sparse representations. We first place this approach into a probabilistic framework and then derive a practical procedure to solve it. Comparisons of the rate-distortion performance show the superiority of the proposed algorithm with regard to other state-of-the-art algorithms.
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Dates and versions

inria-00539118 , version 1 (24-11-2010)

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  • HAL Id : inria-00539118 , version 1

Cite

Angélique Drémeau, Mehmet Türkan, Cédric Herzet, Christine Guillemot, Jean-Jacques Fuchs. Spatial intra-prediction based on mixtures of sparse representations. Proc. IEEE International Workshop on Multimedia Signal Processing (MMSP), Oct 2010, Saint Malo, France. ⟨inria-00539118⟩
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