Perceptual quality of noise-redued computed tomography images: a multidimensional approach

B. Escalante Ramírez; H. Ridder, de; J.B. Martens

Perceptual quality of noise-redued computed tomography images: a multidimensional approach

B. Escalante Ramírez, H. Ridder, de, J.B. Martens

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, 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 (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.

Original language	English
Pages (from-to)	63-71
Number of pages	9
Journal	IPO Annual Progress Report
Volume	27
Publication status	Published - 1992

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title = "Perceptual quality of noise-redued computed tomography images: a multidimensional approach",

abstract = "Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, 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 (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.",

author = "{Escalante Ram{\'i}rez}, B. and {Ridder, de}, H. and J.B. Martens",

year = "1992",

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AU - Escalante Ramírez, B.

AU - Ridder, de, H.

AU - Martens, J.B.

PY - 1992

Y1 - 1992

N2 - Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, 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 (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.

AB - Judging the perceptual quality of processed images is a cognitive process in which the perceived impressions of image attributes, such as sharpness and noisiness, 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 (CT) images processed by a noise-reduction technique. We also show how inter-subject differences in the assessment of image attributes can be characterized.

M3 - Article

SN - 0921-2566

VL - 27

SP - 63

EP - 71

JO - IPO Annual Progress Report

JF - IPO Annual Progress Report

ER -

Perceptual quality of noise-redued computed tomography images: a multidimensional approach

Abstract

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