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Robust Approach to Image Denoising

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F02%3A00006993" target="_blank" >RIV/60461373:22340/02:00006993 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robust Approach to Image Denoising

  • Original language description

    Both Huber and Hampel approaches can be used for M-estimate generation. The resulting robust statistics was used for 2D image denoising. The article is oriented to MR image enhancement in case of the mixture of gaussian and nongaussian noise. The real biomedical application was realized in the Matlab system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Sborník příspěvků 10. ročníku konference MATLAB 2002

  • ISBN

    165;175

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    165-175

  • Publisher name

    VŠCHT Praha

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Nov 7, 2002

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article