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Stabilization of median smoother via variational approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00326210" target="_blank" >RIV/68407700:21230/18:00326210 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1117/12.2321226" target="_blank" >https://doi.org/10.1117/12.2321226</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/12.2321226" target="_blank" >10.1117/12.2321226</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stabilization of median smoother via variational approach

  • Original language description

    Traditional median smoother for 2D images is insensitive to impulse noise but generates flat areas as unwanted artifacts. The proposed approach to overcome this issue is based on the minimization of the regularized form of total variation functional. At first the continuous functional is defined for n-dimensional signal in an integral form with regularization term. The continuous functional is converted to the discrete form using equidistant spatial sampling in point grid of pixels, voxels or other elements. This approach is suitable for traditional signal and image processing. The total variance is then converted to the sum of absolute intensity differences as a minimization criterion. The functional convexity guarantees the existence of global minimum and absence of local extremes. Resulting non-linear filter iteratively calculates local medians using red-black method of Successive Over/Under Relaxation (SOR) scheme. The optimal value of the relaxation parameter is also subject to our study. The sensitivity to regularization parameter enables to design high-pass and nonlinear band-pass filters as the difference between the image and low-pass smoother or as the difference between two different low-pass smoothers, respectively. Various median based approaches are compared in the paper.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/GA17-05840S" target="_blank" >GA17-05840S: Multicriteria Optimization of Shift-Variant Imaging System Models</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings Volume 10752 - Applications of Digital Image Processing XLI

  • ISBN

    9781510620759

  • ISSN

    0277-786X

  • e-ISSN

    1996-756X

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    SPIE

  • Place of publication

    Bellingham

  • Event location

    San Diego

  • Event date

    Aug 19, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000450861700089