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IMAGE COMPRESSION WITH STOCHASTIC WINNER-TAKE-ALL AUTO-ENCODER

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Citation Author(s):
Thierry Dumas
Thierry Dumas, Aline Roumy, Christine Guillemot
Submitted by:
Thierry Dumas
Last updated:
14 March 2017 - 10:35am
Document Type:
Poster
Document Year:
2017
Event:
ICASSP 2017
Presenters:
Thierry
Paper Code:
2272
Categories:
Image/Video Coding
 

This paper addresses the problem of image compression using
sparse representations. We propose a variant of autoencoder
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 outperforms
auto-encoders but it is worse than WTA OMP. Besides,
SWTA AE can compete with JPEG in terms of ratedistortion.

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