Subjective evaluation of natural high‐saturated images on a wide gamut display

Abstract

In previous studies of image evaluation using wide color gamut displays, it is unclear to what degree people prefer the chroma‐varying images, especially the images that are more saturated than the most preferred image. Here, we present a study using a wide color gamut display, which measured viewers' most preferred level of image chroma (experiment 1) and their subjective evaluation of images that were less or more saturated than the previously most preferred one (experiment 2). The results showed that (a) the subjects' preferences for the original or for more saturated images depended on the images' original chroma and (b) the subjective evaluation of the images, that is, Valence and Arousal, did not deteriorate when the chroma of images increased more than the most preferred level. Such results indicate that the increase of the image chroma in wider color gamut displays can have a substantial influence on the impression images have on viewers.

Image quality evaluation for high dynamic range and wide color gamut applications using visual spatial processing of color differences

“…These kinds of color distortions may look plausible to the viewer even if incorrect and thus may not be penalized as much as other distortions. In addition, asymmetric biases toward over‐saturation as opposed to under‐saturation are known, 70 and with the simple metrics such color differences are treated symmetrically. On the other hand, Database 1 seems less selective and most metrics already have very high correlation and low error on that database.…”

Application of binary programming theory to product color planning with multiple constraints

“…To verify the effectiveness of using binary theory to solve product color planning with multiple constraints, this study used a network questionnaire to obtain the results of the subjective selection of color planning schemes of product designers. 35 A total of 40 people were empanrled to evaluate the appearance color planning of smart assembly products. These participants were asked to given areas to be relatively strong.…”