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A Novel Image Compression Method Based on Classified Energy and Pattern Blocks: Initial Results

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Computer and Information Sciences

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 62))

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Abstract

In this work, a new method for the compression of the images based on the generation of the so called classified energy and pattern blocks is introduced and the initial results are presented. The initials results proved that the new method provides considerable image compression ratios and image quality even at low bit rates.

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Author information

Authors and Affiliations

  1. Engineering Faculty, Department of Electronics Engineering, Isik University, Sile, Istanbul, Turkey

    Umit Guz & Hakan Gurkan

  2. Engineering Faculty, Department of Electrical-Electronics Engineering, Istanbul University, Istanbul, Turkey

    B. Siddik Yarman

Authors
  1. Umit Guz
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  2. Hakan Gurkan
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  3. B. Siddik Yarman
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Corresponding author

Correspondence to Umit Guz .

Editor information

Editors and Affiliations

  1. , EEE Dept., Imperial College, Exhibition Road, London, SW72BT, United Kingdom

    Erol Gelenbe

  2. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Ricardo Lent

  3. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Georgia Sakellari

  4. , School of Biomedical Eng., Sci. and Heal, Drexel University, Bossone 702, 3120 Market Street, Philadelphia, 19104, Pennsylvania, USA

    Ahmet Sacan

  5. , Dept. of Computer Engineering, Middle East Technical University, Ankara, 06531, Turkey

    Hakki Toroslu

  6. Fac. Engineering, Dept. Computer Engineering, Middle East Technical University - METU, Ankara, 06531, Turkey

    Adnan Yazici

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© 2011 Springer Science+Business Media B.V.

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Guz, U., Gurkan, H., Yarman, B.S. (2011). A Novel Image Compression Method Based on Classified Energy and Pattern Blocks: Initial Results. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_54

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  • DOI: https://doi.org/10.1007/978-90-481-9794-1_54

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9793-4

  • Online ISBN: 978-90-481-9794-1

  • eBook Packages: EngineeringEngineering (R0)

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