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Parallel implementation of collaborative filtering technique for denoising of CT images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F16%3A86098890" target="_blank" >RIV/61989100:27230/16:86098890 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/16:86098890 RIV/61989100:27740/16:86098890

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-40361-8_9" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-40361-8_9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-40361-8_9" target="_blank" >10.1007/978-3-319-40361-8_9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parallel implementation of collaborative filtering technique for denoising of CT images

  • Original language description

    In the paper parallelization of the collaborative filtering technique for image denoising is presented. The filter is compared with several other available methods for image denoising such as Anisotropic diffusion, Wavelet packets, Total Variation denoising, Gaussian blur, Adaptive Wiener filter and Non-Local Means filter. Application of the filter is intended for denoising of the medical CT images as a part of image pre-processing before image segmentation. The paper is evaluating the filter denoising quality and describes effective parallelization of the filtering algorithm. Results of the parallelization are presented in terms of strong and weak scalability together with algorithm speed-up compared to the typical sequential version of the algorithm. (C) Springer International Publishing Switzerland 2016.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 9611

  • ISBN

    978-3-319-40360-1

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    15

  • Pages from-to

    126-140

  • Publisher name

    Springer

  • Place of publication

    New York

  • Event location

    Soláň

  • Event date

    May 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000386324600009