Perceptual quality of noise-redued computed tomography images: a multidimensional approach

B. Escalante Ramírez, H. Ridder, de, J.B. Martens

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, play an important role. In this paper, we show how multidimensional scaling can be used to study the perceptual factors that influence the quality impression of computed tomography (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.
    Original languageEnglish
    Pages (from-to)63-71
    Number of pages9
    JournalIPO Annual Progress Report
    Volume27
    Publication statusPublished - 1992

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    title = "Perceptual quality of noise-redued computed tomography images: a multidimensional approach",
    abstract = "Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, play an important role. In this paper, we show how multidimensional scaling can be used to study the perceptual factors that influence the quality impression of computed tomography (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.",
    author = "{Escalante Ram{\'i}rez}, B. and {Ridder, de}, H. and J.B. Martens",
    year = "1992",
    language = "English",
    volume = "27",
    pages = "63--71",
    journal = "IPO Annual Progress Report",
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    Perceptual quality of noise-redued computed tomography images: a multidimensional approach. / Escalante Ramírez, B.; Ridder, de, H.; Martens, J.B.

    In: IPO Annual Progress Report, Vol. 27, 1992, p. 63-71.

    Research output: Contribution to journalArticleAcademicpeer-review

    TY - JOUR

    T1 - Perceptual quality of noise-redued computed tomography images: a multidimensional approach

    AU - Escalante Ramírez, B.

    AU - Ridder, de, H.

    AU - Martens, J.B.

    PY - 1992

    Y1 - 1992

    N2 - Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, play an important role. In this paper, we show how multidimensional scaling can be used to study the perceptual factors that influence the quality impression of computed tomography (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.

    AB - Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, play an important role. In this paper, we show how multidimensional scaling can be used to study the perceptual factors that influence the quality impression of computed tomography (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.

    M3 - Article

    VL - 27

    SP - 63

    EP - 71

    JO - IPO Annual Progress Report

    JF - IPO Annual Progress Report

    SN - 0921-2566

    ER -