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Color Image Magnification with Interval-Valued Fuzzy Sets

  • Conference paper
Eurofuse 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 107))

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Abstract

In this work we present a simple magnification algorithm for color images. It uses Interval-Valued Fuzzy Sets in such a way that every pixel has an interval membership constructed from its original intensity and its neighbourhood’s one. Based on that interval membership, a block is created for each pixel, so this is a block expansion method.

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© 2011 Springer-Verlag Berlin Heidelberg

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Jurio, A., Pagola, M., Bustince, H., Beliakov, G. (2011). Color Image Magnification with Interval-Valued Fuzzy Sets. In: Melo-Pinto, P., Couto, P., SerĂ´dio, C., Fodor, J., De Baets, B. (eds) Eurofuse 2011. Advances in Intelligent and Soft Computing, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24001-0_29

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  • DOI: https://doi.org/10.1007/978-3-642-24001-0_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24000-3

  • Online ISBN: 978-3-642-24001-0

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