مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

ROBUSTNESS OF WEIGHTED MEDIAN FILTERS BASED ON ESTIMATION APPROACHES

Pages

  44-52

Abstract

 Weighted median (WM) filters, a nonlinear filter class based on a median operator and a weight vector associated with samples inside the filter window, take their popularity from the robust order-statistic theory, the noise attenuation capability and the degree of the freedom related to filter design. In order to adapt a filter behavior for a variety of statistics describing the desired signal and the noise distribution, there were developed some optimization algorithms based on estimation and structural approaches. In this paper, we focus on optimal WEIGHTED MEDIAN FILTERS based on the estimation approach. Besides well-known WM optimization algorithms that utilize linear and sigmoidal approximation of a sign function, we test and analyze a genetic approach that outperforms others optimal WM algorithms especially in terms of the signal-detail preservation.

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    Cite

    APA: Copy

    LUKAC, R., & VARGA, A.. (2003). ROBUSTNESS OF WEIGHTED MEDIAN FILTERS BASED ON ESTIMATION APPROACHES. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), 2(1), 44-52. SID. https://sid.ir/paper/283328/en

    Vancouver: Copy

    LUKAC R., VARGA A.. ROBUSTNESS OF WEIGHTED MEDIAN FILTERS BASED ON ESTIMATION APPROACHES. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE)[Internet]. 2003;2(1):44-52. Available from: https://sid.ir/paper/283328/en

    IEEE: Copy

    R. LUKAC, and A. VARGA, “ROBUSTNESS OF WEIGHTED MEDIAN FILTERS BASED ON ESTIMATION APPROACHES,” IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), vol. 2, no. 1, pp. 44–52, 2003, [Online]. Available: https://sid.ir/paper/283328/en

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