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HYBRID ORTHOGONAL APPROXIMATION OF NON-SQUARE AREAS

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

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Abstract

The work deals with possibilities of approximation of non-square areas using combined discrete orthogonal transforms (DOT), where image data are represented using less spectral coefficients than in the case of single transform approach. The work is based on an assumption that properly chosen orthogonal transforms complete each other in the process of image approximation.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Information Technologies, Slovak University of Technology in Bratislava, Slovakia

    Jaroslav Polec, Tatiana Karlubíková & Anton Březina

Authors
  1. Jaroslav Polec
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  2. Tatiana Karlubíková
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  3. Anton Březina
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Polec, J., Karlubíková, T., Březina, A. (2006). HYBRID ORTHOGONAL APPROXIMATION OF NON-SQUARE AREAS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_109

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_109

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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