7 August 2013 Investigation of perceptual attributes for mobile display image quality
Rui Gong, Haisong Xu, Qing Wang, Zhehong Wang, Haifeng Li
Author Affiliations +
Abstract
Large-scale psychophysical experiments are carried out on two types of mobile displays to evaluate the perceived image quality (IQ). Eight perceptual attributes, i.e., naturalness, colorfulness, brightness, contrast, sharpness, clearness, preference, and overall IQ, are visually assessed via categorical judgment method for various application types of test images, which were manipulated by different methods. Their correlations are deeply discussed, and further factor analysis revealed the two essential components to describe the overall IQ, i.e., the component of image detail aspect and the component of color information aspect. Clearness and naturalness are regarded as two principal factors for natural scene images, whereas clearness and colorfulness were selected as key attributes affecting the overall IQ for other application types of images. Accordingly, based on these selected attributes, two kinds of empirical models are built to predict the overall IQ of mobile displays for different application types of images.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Rui Gong, Haisong Xu, Qing Wang, Zhehong Wang, and Haifeng Li "Investigation of perceptual attributes for mobile display image quality," Optical Engineering 52(8), 083104 (7 August 2013). https://doi.org/10.1117/1.OE.52.8.083104
Published: 7 August 2013
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Data modeling

Image quality

Visualization

RGB color model

Optical engineering

Factor analysis

Internet

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