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Fast Design of 2-D Narrow Bandstop FIR Filters for Image Enhancement

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

Abstract

Novel approach in the design of 2-D extremely narrow bandstop FIR filters is presented. The completely analytical design method is based on the 1-D optimal bandstop FIR filters. The 1-D FIR optimal bandstop filters are based on Zolotarev polynomial. Closed form formulas for the design of the filters are presented. One example demonstrates the design procedure. Application of the 2-D narrow bandstop FIR filter for image enhancement is presented.

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Author information

Authors and Affiliations

  1. Department of Telecommunications Engineering, Czech Technical University, Prague Technická 2, CZ-166 27, Praha, Czech Republic

    Pavel Zahradnik

  2. Department of Applied Mathematics, Czech Technical University, Prague Konviktská 20, CZ-110 00, Praha, Czech Republic

    Miroslav Vlček

Authors
  1. Pavel Zahradnik
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  2. Miroslav Vlček
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

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

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Zahradnik, P., Vlček, M. (2004). Fast Design of 2-D Narrow Bandstop FIR Filters for Image Enhancement. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_97

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_97

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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