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Proceedings Paper

Multidimensional perceptual quality of noise-reduced computed-tomography images
Author(s): Boris Escalante-Ramirez; Huib de Ridder; Jean-Bernard Martens
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Paper Abstract

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.

Paper Details

Date Published: 1 April 1994
PDF: 12 pages
Proc. SPIE 2166, Medical Imaging 1994: Image Perception, (1 April 1994); doi: 10.1117/12.171733
Show Author Affiliations
Boris Escalante-Ramirez, National Univ. of Mexico (Mexico)
Huib de Ridder, Institute for Perception Research (Netherlands)
Jean-Bernard Martens, Institute for Perception Research (Netherlands)


Published in SPIE Proceedings Vol. 2166:
Medical Imaging 1994: Image Perception
Harold L. Kundel, Editor(s)

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