Bibtex de la publication

@Article{ DeChChMo2009.1,
author = {Delaunay, Xavier and Chabert, Marie and Charvillat, Vincent and Morin, Géraldine},
title = "{Satellite Image Compression by Post-Transforms in the Wavelet Domain}",
journal = {Signal Processing},
publisher = {EURASIP},
address = {http://www.eurasip.org/},
year = {2009},
month = {février},
volume = {90},
number = {2},
pages = {599--610},
language = {anglais},
URL = {http://chabert.perso.enseeiht.fr/articles/Delaunay_SP_2009.pdf},
keywords = {Still image coding, Discrete transforms, Wavelet transform, Satellite application},
abstract = {This paper proposes a novel compression scheme with a tunable complexity-ratedistortion trade-off. As images increase in size and resolution, more efficient compression schemes with low complexity are required on-board Earth observation satellites. The standard of the Consultative Committee for Space Data Systems (CCSDS) defines a strip-based compression scheme with the advantages of a low complexity and an easy rate control. However, future mission specifications expect higher performance in terms of rate-distortion. The scheme proposed in this paper intends to perform better than the CCSDS standard while preserving low complexity and easy rate control. Moreover, to comply with existing on-board devices, the proposed core compression engine still uses the wavelet transform but in association with a linear post-processing inspired from the bandelet transform. The post-transform decomposes a small block of wavelet coefficients on a particular basis. This basis is adaptively selected within a predefined dictionary by rate-distortion optimization. The computational complexity depends upon the dictionary size and of the basis structure. An extremely simple dictionary, reduced to the Hadamard basis, is proposed. The post-transform efficiency is illustrated by experiments on various Earth observation images provided by the French Space Agency (CNES).}
}