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Interpolation techniques versus F-transform in application to image reconstruction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1501BF9" target="_blank" >RIV/61988987:17610/14:A1501BF9 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Interpolation techniques versus F-transform in application to image reconstruction

  • Original language description

    Many interpolation techniques are available for image reconstruction, with differences in time complexity, memory complexity and quality. In this article, we compare the application of bilinear interpolation, nearest neighbor interpolation and the F-transform approximation technique to the problem of image econstruction. Based on our results, Ftransform achieves the best results in terms of quality.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE International Conference on Fuzzy Systems

  • ISBN

    978-1-4799-2073-0

  • ISSN

    1098-7584

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    533-539

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

  • Event location

    Peking, Čína

  • Event date

    Jul 6, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article