Global rate-distortion optimization of satellite imaging chains

Mikael Carlavan 1, * Laure Blanc-Féraud 1 Marc Antonini 2 Carole Thiebaut 3 Christophe Latry 3 Yves Bobichon 4
* Auteur correspondant
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, SIS - Signal, Images et Systèmes
Abstract : The joint compression/restoration optimization of a satellite imaging chain is a challenging problem which has been little investigated so far. Some works have been done in designing an optimal coding/decoding structure which takes into account the characteristics of the imaging chain (Parisot, 2001), but, to the best of our knowledge, the study of the global system optimization has not devoted much work; so that each process is usually optimized separately. In this paper, we focus on the global optimization of the satellite imaging chain including both compression and restoration. We propose a closed-form expression of the global distortion as a function of the chain parameters and we show how to optimize this distortion, for a given rate, to obtain the parameters of the restoration and the compression algorithms which lead to the minimal distortion.
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Communication dans un congrès
On-Board Payload Data Compression Workshop, Oct 2012, Barcelone, Spain. 2012
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https://hal.inria.fr/hal-00748522
Contributeur : Mikael Carlavan <>
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Dernière modification le : samedi 23 juillet 2016 - 01:04:56
Document(s) archivé(s) le : lundi 15 avril 2013 - 04:01:09

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Mikael Carlavan, Laure Blanc-Féraud, Marc Antonini, Carole Thiebaut, Christophe Latry, et al.. Global rate-distortion optimization of satellite imaging chains. On-Board Payload Data Compression Workshop, Oct 2012, Barcelone, Spain. 2012. <hal-00748522v2>

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