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

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

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Samenvatting

    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.
    Originele taal-2Engels
    Pagina's (van-tot)63-71
    Aantal pagina's9
    TijdschriftIPO Annual Progress Report
    Volume27
    StatusGepubliceerd - 1992

    Vingerafdruk

    Duik in de onderzoeksthema's van 'Perceptual quality of noise-redued computed tomography images: a multidimensional approach'. Samen vormen ze een unieke vingerafdruk.

    Citeer dit