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Lineal Image Compression Based on Lukasiewicz’s Operators

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

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Abstract

We proposed the use of Lukasiewicz’s operators for lineal image compression. These operators have been applied to the approximation of piecewise linear functions. In this sense we showed two basic piecewise lineal static image compression techniques in which the use of this operators lets to reduce hardware resources.

This work was partially supported by projects TEC2005-04359/MIC from the Spanish Ministry of Education and Science as well as TIC2006-635 from the Andalusian regional Government.

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References

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Author information

Authors and Affiliations

  1. Instituto de Microelectrónica de Sevilla, CNM-CSIC, Avda. Reina Mercedes s/n,edif CICA, E-41012, Sevilla, Spain

    N. M. Hussein Hassan & A. Barriga

Authors
  1. N. M. Hussein Hassan
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  2. A. Barriga
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Hassan, N.M.H., Barriga, A. (2006). Lineal Image Compression Based on Lukasiewicz’s Operators. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_45

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  • DOI: https://doi.org/10.1007/11893004_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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