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An Optimisation Approach to Palette Reordering for Indexed Image Compression

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Book cover Applications of Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 52))

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Summary

Colour quantised images consist of two parts: a colour palette which represents all possible colours in the image, and an index image which stores which colour is to be used at each pixel position. This index image still contains a large amount of redundant information which can be exploited by applying lossless image compression algorithms. The achieved compression ratio however depends on the ordering of the colour entries in the palette. Hence, in order to achieve better compression, the colour entries need to be reordered so as to allow maximal redundancy exploitation by the specific compression algorithm to be used. In this paper we present a simulated annealing approach to reordering the palette for subsequent JPEG2000 or JPEG-LS lossless compression of the index information. We show that our algorithm allows for improved compression compared to previous reordering techniques.

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Author information

Authors and Affiliations

  1. School of Engineering and Applied Science, Aston University, Birmingham, U.K.

    Gerald Schaefer

  2. School of Computing and Informatics, Nottingham Trent University, Nottingham, U.K.

    Lars Nolle

Authors
  1. Gerald Schaefer
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  2. Lars Nolle
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Editor information

Editors and Affiliations

  1. Senior Lecturer in Integrated Transport Centre for Transport & Society Faculty of the Built Environment, University of the West of England, Frenchay Campus Coldharbour Lane, BS16 1QY, Bristol, UK

    Erel Avineri

  2. Kyushu Institute of Technology, Dept. Artificial Intelligence, 680-4 Kawazu Izuka-Shi, 820-8502, Fukuoka, Japan

    Mario Köppen

  3. MOSAIC Research Group Department of Computing, University of Bradford, BD7 1DP, Bradford, UK

    Keshav Dahal

  4. Centre for Transport & Society Faculty of the Built Environment, University of the West of England, Frenchay Campus Coldharbour Lane, BS16 1QY, Bristol, UK

    Yos Sunitiyoso

  5. Professor of Decision Engineering and Head of Decision Engineering Centre Manufacturing Department, Cranfield University, MK43 OAL, Bedford, UK

    Rajkumar Roy

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© 2009 Springer-Verlag Berlin Heidelberg

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Schaefer, G., Nolle, L. (2009). An Optimisation Approach to Palette Reordering for Indexed Image Compression. In: Avineri, E., Köppen, M., Dahal, K., Sunitiyoso, Y., Roy, R. (eds) Applications of Soft Computing. Advances in Soft Computing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88079-0_18

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  • DOI: https://doi.org/10.1007/978-3-540-88079-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88078-3

  • Online ISBN: 978-3-540-88079-0

  • eBook Packages: EngineeringEngineering (R0)

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