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Perceptual image attribute scales derived from overall image quality assessments

Oh, Hoon K. and Triantaphillidou, Sophie and Jacobson, Ralph E. (2009) Perceptual image attribute scales derived from overall image quality assessments. In: Farnand, Susan P. and Gaykema, Frans, (eds.) Image quality and system performance VI : 19-21 January 2009, San Jose, California, USA. Proceedings of SPIE (7242). IS&T - the Society for Imaging and Science and Technology and SPIE, C1-C12. ISBN 9780819474926

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Official URL: http://dx.doi.org/10.1117/12.805848

Abstract

Psychophysical scaling is commonly based on the assumption that the overall quality of images is based on the assessment of individual attributes which the observer is able to recognise and separate, i.e. sharpness, contrast, etc. However, the assessment of individual attributes is a subject of debate, since they are unlikely to be independent from each other. This paper presents an experiment that was carried to derive individual perceptual attribute interval scales from overall image quality assessments, therefore examine the weight of each individual attribute to the overall perceived quality. A psychophysical experiment was taken by fourteen observers. Thirty two original images were manipulated by adjusting three physical parameters that altered image blur, noise and contrast. The data were then arranged by permutation, where ratings for each individual attribute were averaged to examine the variation of ratings in other attributes. The results confirmed that one JND of added noise and one JND of added blurring reduced image quality more than did one JND in contrast change. Furthermore, they indicated that the range of distortion that was introduced by blurring covered the entire image quality scale but the ranges of added noise and contrast adjustments were too small for investigating the consequences in the full range of image quality. There were several interesting tradeoffs between noise,blur and changes in contrast. Further work on the effect of (test) scene content was carried out to objectively reveal which types of scenes were significantly affected by changes in each attribute.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:8954
Deposited On:16 Dec 2010 13:02
Last Modified:16 Dec 2010 13:03

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