Dynamic speckle analysis with smoothed intensity-based activity maps

Elena Stoykova, Natalia Berberova, Youngmin Kim, Dimana Nazarova, Branimir Ivanov, Atanas Gotchev, Jisoo Hong, Hoonjong Kang

    Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

    15 Sitaatiot (Scopus)
    56 Lataukset (Pure)


    Pointwise intensity-based algorithms are the most popular algorithms in dynamic laser speckle measurement of physical or biological activity. The output of this measurement is a two-dimensional map which qualitatively separates regions of higher or lower activity. In the paper, we have proposed filtering of activity maps to enhance visualization and to enable quantitative determination of activity time scales. As a first step, we have proved that the severe spatial fluctuations within the map resemble a signal-dependent noise. As a second step, we have illustrated implementation of the proposed idea by applying filters to non-normalized and normalized activity estimates derived from synthetic and experimental data. Statistical behavior of the estimates has been analyzed to choose the filter parameters, and substantial narrowing of the probability density functions of the estimates has been achieved after the filtering. The filtered maps exhibit an improved contrast and allowed for quantitative description of activity.

    JulkaisuOptics and Lasers in Engineering
    DOI - pysyväislinkit
    TilaJulkaistu - 1 kesäk. 2017
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä


    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics
    • Mechanical Engineering
    • Electrical and Electronic Engineering


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