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Biomedical Image Volumes Denoising via the Wavelet Transform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F11%3A43892257" target="_blank" >RIV/60461373:22340/11:43892257 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Biomedical Image Volumes Denoising via the Wavelet Transform

  • Original language description

    Image denoising represents a crucial initial step in biomedical image processing andanalysis. Denoising belongs to the family of image enhancement methods (Bovik, 2009) which comprise also blur reduction, resolution enhancement, artefacts suppression, andedge enhancement. The motivation for enhancing the biomedical image quality is twofold.First, improving the visual quality may yield more accurate medical diagnostics, andsecond, analytical methods, such as segmentation and content recognition, requireimagepreprocessing on the input.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • 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

    2011

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Applied Biomedical Engineering

  • ISBN

    978-953-307-256-2

  • Number of pages of the result

    24

  • Pages from-to

    435-458

  • Number of pages of the book

    500

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin

  • UT code for WoS chapter