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International Conference Image Analysis and Recognition

ICIAR 2005: Image Analysis and Recognition pp 328–334Cite as

Grayscale Two-Dimensional Lempel-Ziv Encoding

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

Abstract

Dictionary-based compression methods are a popular form of data file compression. LZ77, LZ78 and their variants are likely the most famous of these methods. These methods are implemented to reduce the one-dimensional correlation in data, since they are designed to compress text. Therefore, they do not take advantage of the fact that, in images, adjacent pixels are correlated in two dimensions. Previous attempts have been made to linearize images in order to make them suitable for dictionary-based compression, but results show that no single linearization is best for all images. In this paper, a true two-dimensional dictionary-based lossless image compression scheme for grayscale images is introduced. Testing results show that the compression performance of the proposed scheme outperforms and surpasses any other existing dictionary-based compression scheme. The results also show that it slightly outperforms JPEG-2000’s compression performance, when it operates in its lossless mode, and it is comparable to JPEG-LS’s compression performance, where JPEG-2000 and JPEG-LS are the current image compression standards.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Western Ontario, London, Ontario, Canada

    Nathanael J. Brittain & Mahmoud R. El-Sakka

Authors
  1. Nathanael J. Brittain
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  2. Mahmoud R. El-Sakka
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2005 Springer-Verlag Berlin Heidelberg

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Brittain, N.J., El-Sakka, M.R. (2005). Grayscale Two-Dimensional Lempel-Ziv Encoding. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_41

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  • DOI: https://doi.org/10.1007/11559573_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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