B. Escalanteramirez et al., MULTIDIMENSIONAL CHARACTERIZATION OF THE PERCEPTUAL QUALITY OF NOISE-REDUCED COMPUTED-TOMOGRAPHY IMAGES, Journal of visual communication and image representation, 6(4), 1995, pp. 317-334
Judging the perceptual quality of processed images is a cognitive proc
ess in which the perception of image attributes such as sharpness and
noisiness plays an important role. In this paper, we use multidimensio
nal scaling to study the perceptual factors that influence the quality
impression of Computed Tomography (CT) images processed by a noise-re
duction technique. We also characterize intersubject differences in th
e assessment of image attributes. We show that multidimensional scalin
g can be used reliably for the characterization of the subjective perf
ormance of image-processing algorithms, Evaluations using human subjec
ts, such as the ones presented in this paper, will continue to play an
important role, since objective measures for perceptual image quality
, with proven validity in a broad range of applications, are not expec
ted in the near future. (C) 1995 Academic Press,Inc.