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EURASIP Journal on Image and Video Processing
EURASIP Journal on Image and Video Processing Cover Image
  • Research Article
  • Open Access

Adaptation of Zerotrees Using Signed Binary Digit Representations for 3D Image Coding

EURASIP Journal on Image and Video Processing20072007:054679

https://doi.org/10.1155/2007/54679

©  Emmanuel Christophe et al. 2007

  • Received: 15 August 2006
  • Accepted: 18 December 2006
  • Published:

Abstract

Zerotrees of wavelet coefficients have shown a good adaptability for the compression of three-dimensional images. EZW, the original algorithm using zerotree, shows good performance and was successfully adapted to 3D image compression. This paper focuses on the adaptation of EZW for the compression of hyperspectral images. The subordinate pass is suppressed to remove the necessity to keep the significant pixels in memory. To compensate the loss due to this removal, signed binary digit representations are used to increase the efficiency of zerotrees. Contextual arithmetic coding with very limited contexts is also used. Finally, we show that this simplified version of 3D-EZW performs almost as well as the original one.

Keywords

  • Image Processing
  • Pattern Recognition
  • Computer Vision
  • Wavelet Coefficient
  • Image Compression

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Authors’ Affiliations

(1)
CNES, BPI 1219, 18 avenue Edourad Belin, Toulouse cedex 9, 31401, France
(2)
CNRS / LSS, Supelec Plateau de Moulon, Gif-sur-Yvette, 91192, France
(3)
TeSA / IRIT, 14 port St Etienne, Toulouse, 31000, France

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Copyright

© Emmanuel Christophe et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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