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

    Fingerprint Dive into the research topics of 'Perceptual quality of noise-redued computed tomography images: a multidimensional approach'. Together they form a unique fingerprint.

    Cite this