Multidimensional perceptual quality of noise-reduced computed-tomography images

Boris Escalante-Ramirez; Huib de Ridder; Jean-Bernard Martens

doi:10.1117/12.171733

1 April 1994 Multidimensional perceptual quality of noise-reduced computed-tomography images

Boris Escalante-Ramirez, Huib de Ridder, Jean-Bernard Martens

Proceedings Volume 2166, Medical Imaging 1994: Image Perception; (1994) https://doi.org/10.1117/12.171733
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

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.

Citation Download Citation

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

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