Translator Disclaimer
Paper
1 April 1994 Multidimensional perceptual quality of noise-reduced computed-tomography images
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Escalante-Ramirez, Huib de Ridder, and Jean-Bernard Martens "Multidimensional perceptual quality of noise-reduced computed-tomography images", Proc. SPIE 2166, Medical Imaging 1994: Image Perception, (1 April 1994); https://doi.org/10.1117/12.171733
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
Back to Top