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Fuzzy Motion Adaptive Algorithm for Video De-interlacing

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

A motion adaptive algorithm for video de-interlacing is presented in this paper. It is based on a fuzzy inference system, which performs an interpolation between two linear techniques as a function of the motion level. Fuzzy systems with different number of ’if-then’ rules have been analyzed and compared in terms of complexity as well as efficiency in de-interlacing benchmark video sequences.

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Author information

Authors and Affiliations

  1. Instituto de Microelectrónica de Sevilla (IMSE-CNM-CSIC), Avda. Reina Mercedes S/N. Edificio CICA., 41012, Sevilla, Spain

    P. Brox, I. Baturone & S. Sánchez-Solano

  2. Dpto. Tecnología Fotónica, Universidad Politécnica de Madrid, Campus de Montegancedo S/N., 28660, Boadilla del Monte-Madrid, Spain

    J. Gutiérrez-Ríos & F. Fernández-Hernández

Authors
  1. P. Brox
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  2. I. Baturone
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  3. S. Sánchez-Solano
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  4. J. Gutiérrez-Ríos
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  5. F. Fernández-Hernández
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Brox, P., Baturone, I., Sánchez-Solano, S., Gutiérrez-Ríos, J., Fernández-Hernández, F. (2006). Fuzzy Motion Adaptive Algorithm for Video De-interlacing. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_47

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  • DOI: https://doi.org/10.1007/11893004_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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