Paper
8 February 2015 Preferred memory color difference between the deuteranomalous and normal color vision
YeSeul Baek, Youngshin Kwak, Sungjoo Woo, Chongwook Park
Author Affiliations +
Proceedings Volume 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications; 939517 (2015) https://doi.org/10.1117/12.2081958
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
The goal of this study is to evaluate the difference of the preferred hues of familiar objects between the color deficient observer and the normal observer. Thirteen test color images were chosen covering fruit colors, natural scene and human faces. It contained red, yellow, green, blue, purple and skin color. Two color deficient observer (deuteranomal) and two normal observers were participated in this experiment. They controlled the YCC hue of the objects in the images to obtain the most preferred and the most natural image. The selected images were analyzed using CIELAB values of each pixel. Data analysis results showed that in the case of naturalness, both groups selected the similar hues for the most of image, while, in the case of preference, the color deficient observer preferred more reddish or more greenish images. Since the deuteranomalous observer has relatively week perception for red and green region, they may prefer more reddish or greenish color. The color difference between natural hue and preferred hue of deuteranomal observer is bigger than those of normal observer.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
YeSeul Baek, Youngshin Kwak, Sungjoo Woo, and Chongwook Park "Preferred memory color difference between the deuteranomalous and normal color vision", Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939517 (8 February 2015); https://doi.org/10.1117/12.2081958
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KEYWORDS
Color vision

Color difference

Image quality

Skin

Algorithm development

Color and brightness control algorithms

Data analysis

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