Multidimensional perceptual quality of noise-reduced Computed Tomography images

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)
    1 Downloads (Pure)


    Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of basic image attributes, such as sharpness and presence of noise, 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 images processed by a noise reduction technique. We also show how intersubject differences in the assessment of image attributes can be characterized.
    Original languageEnglish
    Title of host publicationMedical imaging 1994: Image perception: Newport Beach, CA, USA, February 17 - 18, 1994
    EditorsH.L. Kundel
    Place of PublicationBellingham
    Publication statusPublished - 1994

    Publication series

    NameProceedings of SPIE
    ISSN (Print)0277-786X


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