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Bilinear Interpolation over fuzzified images: enlargement

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601E5T" target="_blank" >RIV/61988987:17610/15:A1601E5T - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bilinear Interpolation over fuzzified images: enlargement

  • Original language description

    The paper explore Bilinear Interpolation in the sense of image enlargement. The advantage of this interpolation is its computation speed, meanwhile blurring the output is disadvantage. We propose own image fuzzification procedure creating image represented by a fuzzy function. The Bilinear Interpolation can be computed over this fuzzified image. The benefit is that image represented by a fuzzy function propose sharpening too. The obtained result is compare with Bilinear interpolation with sharpening operator, meanwhile the computing time is lesser than standard case.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on

  • ISBN

    978-1-4673-7428-6

  • ISSN

    1098-7584

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1-8

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Istanbul, Turkey

  • Event date

    Aug 2, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article