86799
20190812204939.0
ISI
000178044600108
CONF
Adaptive Entropy-Constrained Matching Pursuit Quantization
EUSIPCO
2001
2001
Conference Papers
Proceedings of EUSIPCO 2002
This paper proposes an adaptive entropy-constrained Matching Pursuit coefficient quantization scheme. The quantization scheme takes benefit of the inherent properties of Matching Pursuit streams where coefficients energy decreases along with the iteration number. The decay rate can moreover be upper-bounded with an exponential curve driven by the redundancy of the dictionary. An optimal entropy-constrained quantization scheme can thus be derived once the dictionary is known. We propose here to approximate this optimal quantization scheme by adaptive quantization of successive coefficients whose actual values are used to update the quantization scheme parameters. This new quantization scheme is shown to outperform classical exponential quantization in the case of both random dictionaries and practical image coding with Gabor dictionaries.
LTS2
LTS4
240428
Vandergheynst, P.
120906
241061
Frossard, P.
101475
2
423-426
Proceedings of the IEEE ICIP
333311
http://infoscience.epfl.ch/record/86799/files/Vandergheynst2001_70.pdf
n/a
252392
LTS2
U10380
252393
LTS4
U10851
oai:infoscience.tind.io:86799
STI
conf
GLOBAL_SET
EPFL-CONF-86799
Vandergheynst2001_70/LTS
EPFL
PUBLISHED
CONF