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Color image magnification with interval-valued fuzzy sets

Jurio, Aranzazu, Pagola, Miguel, Bustince, Humberto and Beliakov, Gleb 2011, Color image magnification with interval-valued fuzzy sets, in Eurofuse 2011 : workshop on fuzzy methods for knowledge-based systems, Springer-Verlag, Berlin, Germany, pp.313-324.

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Title Color image magnification with interval-valued fuzzy sets
Author(s) Jurio, Aranzazu
Pagola, Miguel
Bustince, Humberto
Beliakov, Gleb
Title of book Eurofuse 2011 : workshop on fuzzy methods for knowledge-based systems
Editor(s) Melo-Pinto, Pedro
Couto, Pedro
Serodio, Carlos
Fodor, Janos
De Baets, Bernard
Publication date 2011
Series Advances in intelligent and soft computing; v. 107
Chapter number 29
Total chapters 37
Start page 313
End page 324
Total pages 12
Publisher Springer-Verlag
Place of Publication Berlin, Germany
Keyword(s) magnification algorithm
interval-valued fuzzy sets
pixel
Summary 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.
ISBN 9783642240003
9783642240010
ISSN 1867-5662
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
Copyright notice ©2011, Springer-Verlag Berlin Heidelberg.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30043127

Document type: Book Chapter
Collections: School of Information Technology
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