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
* Corresponding author
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - 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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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. ⟨hal-00748522v2⟩

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