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Cellular Automata Based Encoding Technique for Wavelet Transformed Data Targeting Still Image Compression

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Cellular Automata (ACRI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4173))

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Abstract

This paper reports cellular automata (CA) based efficient encoding technique for wavelet transformed data of still image. The encoding technique handles wavelet coefficients, in transformed domain, and then simulates different classes of transforms with the introduction of CA framework. It ideally suits for low cost implementation of the compression technology for still images. Reported experimental results establish the effectiveness of the proposed scheme.

This work is supported by the sponsored CA Research Projects, Department of CST, Bengal Engineering & Science University, Shibpur, India.

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Author information

Authors and Affiliations

  1. Dept. of Information Technology, Bengal Engineering & Sc. University, Shibpur, Howrah, 711103, India

    Chandrama Shaw & Sukanta Das

  2. Dept. of Computer Sc. & Technology, Bengal Engineering & Sc. University, Shibpur, Howrah, 711103, India

    Biplab K. Sikdar

Authors
  1. Chandrama Shaw
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  2. Sukanta Das
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  3. Biplab K. Sikdar
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Editor information

Editors and Affiliations

  1. Laboratory of Mathematics, Physics and Systems, University of Perpignan, 52, Paul Alduy Avenue, 66860, Perpignan, Cedex, France

    Samira El Yacoubi

  2. Computer Science Department, University of Geneva, Switzerland

    Bastien Chopard

  3. Research Center on Complex Systems and Artificial Intelligence (CSAI) Department of Computer Science, Systems and Communication (DISCo), University of Milan, Bicocca viale Sarca, 336, 20126, Milan, (Italy)

    Stefania Bandini

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© 2006 Springer-Verlag Berlin Heidelberg

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Shaw, C., Das, S., Sikdar, B.K. (2006). Cellular Automata Based Encoding Technique for Wavelet Transformed Data Targeting Still Image Compression. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds) Cellular Automata. ACRI 2006. Lecture Notes in Computer Science, vol 4173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861201_19

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  • DOI: https://doi.org/10.1007/11861201_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40929-8

  • Online ISBN: 978-3-540-40932-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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