A psychophysical experiment for describing image quality of a 2-inch QVGA mobile liquid crystal display (LCD) was carried out using a category judgment method. Five natural test images were rendered in terms of 8 physical parameters: peakwhite luminance, resolution, bit depth, correlated colour temperature (CCT), lightness with linear and non-linear alterations, chroma and hue. Ten observers rated each of the rendered images using 9 categories (1 to 9), according to 7 perceptual attributes: naturalness, clearness, sharpness, contrast, colourfulness, quality and preference. In total, 18900 judgments were made. The whole set of psychophysical data were used to build an empirical image quality model and, through a stepwise regression method1, it was found that naturalness and sharpness are the most important attributes quantifying image quality.
Youn Jin Kim, M. Ronnier Luo, Peter Rhodes, Wonhee Choe, Seongdeok Lee, Changyeong Kim, "Affective Attributes in Image Quality of a Mobile LCD" in Proc. IS&T CGIV 2006 3rd European Conf. on Colour in Graphics, Imaging, and Vision, 2006, pp 494 - 498, https://doi.org/10.2352/CGIV.2006.3.1.art00101