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Application level framing applied to image compression

Compression d’images par ondelettes selon une approche de type tramage au niveau de l’application

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Abstract

Two well-known wavelet zerotree encoding algorithms, Embedded Zerotree Encoding (Ezw) and Set Partitioning in Hierarchical Trees (Spiht), provide excellent progressive display when images are transmitted over reliable networks. However, both algorithms are state-dependent and can perform poorly over unreliable networks. We apply the concept of network-conscious image compression to theSpiht wavelet zerotree encoding algorithm, to improve its performance over unreliable networks. Experimental results confirm the utility of network-conscious image compression concept.

Résumé

Le codage par ondelettes avec quantification hiérarchique de type «arbre nul» constitue une façon efficace de comprimer les images. Dans une perspective de transmission d’images, deux algorithmes de codage classiques,Ezw (Embedded Zerotree Encoding) etSpiht (Set Partitioning in Hierarchical Trees), permettent un affichage progressif de bonne qualité lorsque les images sont transmises sur un réseau fiable. Cependant, les deux algorithmes dépendent de l’état du réseau et une erreur introduite par le réseau peut altérer sérieusement le résultat. Nous appliquons le concept de compression d’image consciente du réseau à l’algorithme spiht pour l’amélioration de ses performances dans des environnement réseau non fiables. Nos résultats confirment l’avantage de cette technique dans certaines situations de qualités de service.

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Authors and Affiliations

  1. Marconi Plc., 1000 Marconi Drive, 15086, Warrendale, PA, USA

    Sami Iren

  2. University of Delaware Department of Computer and Information Sciences Newark, 19716-2586, DE, USA

    Paul D. Amer

Authors
  1. Sami Iren
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  2. Paul D. Amer
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Corresponding authors

Correspondence to Sami Iren or Paul D. Amer.

Additional information

An abbreviated version of this paper appeared in [IRE 00].

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Iren, S., Amer, P.D. Application level framing applied to image compression. Ann. Télécommun. 57, 502–519 (2002). https://doi.org/10.1007/BF02995173

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  • DOI: https://doi.org/10.1007/BF02995173

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