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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: 22 February 2007

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 ProcessingPattern RecognitionComputer VisionWavelet CoefficientImage Compression

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Authors’ Affiliations

(1)
CNES, Toulouse cedex 9, France
(2)
CNRS / LSS, Gif-sur-Yvette, France
(3)
TeSA / IRIT, Toulouse, 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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