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Image Data Compression/Reconstruction by Fuzzy Relational Equation

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Neural Networks and Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 19))

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Abstract

Various image compression methods have been proposed to realize the easiness and relative inexpensiveness for obtaining and storing digital information, and the possibility to manipulate such information is almost unlimited [1][6][8]. As the number of image compression methods grows steadily, selecting appropriate methods is no longer a simple task. Now we face a stage in which we choose an appropriate method considering its applications (e.g. image database [5] and digital watermark [2] etc). An example of such image compression methods has been proposed by Hirota and Pedrycz, called Image Compression method based on Fuzzy relational equation [4]. In this paper, a fast image reconstruction method for ICF is proposed.

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References

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Author information

Authors and Affiliations

  1. Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, 4259 Nagatsuta, Midoriku, Yokohama-city, 226-8502, Japan

    Kaoru Hirota & Hajime Nobuhara

  2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, T6R, 2G7, Canada

    Witold Pedrycz

Authors
  1. Kaoru Hirota
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  2. Hajime Nobuhara
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  3. Witold Pedrycz
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Technical University Częstochowa, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2003 Springer-Verlag Berlin Heidelberg

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Hirota, K., Nobuhara, H., Pedrycz, W. (2003). Image Data Compression/Reconstruction by Fuzzy Relational Equation. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_6

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  • DOI: https://doi.org/10.1007/978-3-7908-1902-1_6

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0005-0

  • Online ISBN: 978-3-7908-1902-1

  • eBook Packages: Springer Book Archive

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