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.
|Number of pages||9|
|Journal||IPO Annual Progress Report|
|Publication status||Published - 1992|