Image quality wheel

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http://hdl.handle.net/10138/304989

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Virtanen , T , Nuutinen , M & Häkkinen , J 2019 , ' Image quality wheel ' , Journal of Electronic Imaging , vol. 28 , no. 1 , 013015 . https://doi.org/10.1117/1.JEI.28.1.013015

Title: Image quality wheel
Author: Virtanen, Toni; Nuutinen, Mikko; Häkkinen, Jukka
Other contributor: University of Helsinki, Medicum
University of Helsinki, Medicum
University of Helsinki, Department of Psychology and Logopedics



Date: 2019-01-30
Language: eng
Number of pages: 11
Belongs to series: Journal of Electronic Imaging
ISSN: 1017-9909
DOI: https://doi.org/10.1117/1.JEI.28.1.013015
URI: http://hdl.handle.net/10138/304989
Abstract: We have collected a large dataset of subjective image quality "*nesses," such as sharpness or colorfulness. The dataset comes from seven studies and contains 39,415 quotations from 146 observers who have evaluated 62 scenes either in print images or on display. We analyzed the subjective evaluations and formed a hierarchical image quality attribute lexicon for *nesses, which is visualized as image quality wheel (IQ-Wheel). Similar wheel diagrams for attributes have become industry standards in other sensory experience fields such as flavor and fragrance sciences. The IQ-Wheel contains the frequency information of 68 attributes relating to image quality. Only 20% of the attributes were positive, which agrees with previous findings showing a preference for negative attributes in image quality evaluation. Our results also show that excluding physical attributes of paper gloss, observers then use similar terminology when evaluating images with printed images or images viewed on a display. IQ-Wheel can be used to guide the selection of scenes and distortions when designing subjective experimental setups and creating image databases. (C) 2019 SPIE and IS&T
Subject: 515 Psychology
image quality
attributes
lexicon
subjective evaluation
diagram
*nesses
DIMENSIONS
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