Multidimensional perceptual quality of noise-reduced computed-tomography images
Boris Escalante Ramírez, Huib de Ridder, Jean-Bernard Martens · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.