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A Fuzzy Edge-Dependent Interpolation Algorithm

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Soft Computing in Image Processing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 210))

Abstract

Interpolation of images to achieve a higher resolution is required in many applications such as medical and satellite imaging and video format conversion. The resolution improvement provides more image details which are critical to make diagnosis, to distinguish an object or to generate high definition television (HDTV) signals.

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Author information

Authors and Affiliations

  1. Instituto de Microelectrónica de Sevilla, IMSE-CNM

    Piedad Brox, Iluminada Baturone & Santiago Sánchez-Solano

Authors
  1. Piedad Brox
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  2. Iluminada Baturone
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  3. Santiago Sánchez-Solano
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Editor information

Editors and Affiliations

  1. Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 – S9, Gent, 9000, Belgium

    Mike Nachtegael , Dietrich Van der Weken  & Etienne E. Kerre ,  & 

  2. Department of Telecommunications and Information Processing, Ghent University, Sint-Pietersnieuwstraat 41, Gent, 9000, Belgium

    Wilfried Philips

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Brox, P., Baturone, I., Sánchez-Solano, S. (2007). A Fuzzy Edge-Dependent Interpolation Algorithm. In: Nachtegael, M., Van der Weken, D., Kerre, E.E., Philips, W. (eds) Soft Computing in Image Processing. Studies in Fuzziness and Soft Computing, vol 210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-38233-1_6

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  • DOI: https://doi.org/10.1007/978-3-540-38233-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38232-4

  • Online ISBN: 978-3-540-38233-1

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