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

EURASIP Journal on Image and Video Processing volume 2007, Article number: 054679 (2007) Cite this article

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.

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Author information

Affiliations

  1. CNES, BPI 1219, 18 avenue Edourad Belin, Toulouse cedex 9, 31401, France

    Emmanuel Christophe

  2. CNRS / LSS, Supelec Plateau de Moulon, Gif-sur-Yvette, 91192, France

    Pierre Duhamel

  3. TeSA / IRIT, 14 port St Etienne, Toulouse, 31000, France

    Emmanuel Christophe & Corinne Mailhes

Authors
  1. Emmanuel Christophe
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  2. Pierre Duhamel
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  3. Corinne Mailhes
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Correspondence to Emmanuel Christophe.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Christophe, E., Duhamel, P. & Mailhes, C. Adaptation of Zerotrees Using Signed Binary Digit Representations for 3D Image Coding. J Image Video Proc 2007, 054679 (2007). https://doi.org/10.1155/2007/54679

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Keywords

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