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1 Sirocco - Analysis representation, compression and communication of visual data Inria Rennes – Bretagne Atlantique , IRISA D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE

Abstract : This paper addresses the problem of image compression using sparse representations. We propose a variant of auto-encoder called Stochastic Winner-Take-All Auto-Encoder SWTA AE. - Winner-Take-All - means that image patches compete with one another when computing their sparse representation and - Stochastic - indicates that a stochastic hyperparameter rules this competition during training. Unlike auto-encoders, SWTA AE performs variable rate image compression for images of any size after a single training, which is fundamental for compression. For comparison, we also propose a variant of Orthogonal Matching Pursuit OMP called Winner-Take-All Orthogonal Matching Pursuit WTA OMP. In terms of rate-distortion trade-off, SWTA AE out-performs auto-encoders but it is worse than WTA OMP. Besides , SWTA AE can compete with JPEG in terms of rate-distortion.

Keywords : Image compression Sparse representations Auto-encoders Orthogonal Matching Pursuit

Autor: Thierry Dumas - Aline Roumy - Christine Guillemot -



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