2색배색에 관한 정량적 이미지 스케일 구축 - “warm-cool” 및 “soft-hard”축을 중심으로

초록

The purpose of this study is to find the relation between psychological metric quantities of two-color combinations and the axes of “warm-cool” and “soft-hard” on the image scale. Thirty six observers subjectively evaluated one hundred two color pairs on <warm-cool> and <soft-hard> scales. The psychological metric quantities were calculated from CIELAB values of three constituents of a combination. These values are the mean of lightness, the mean of chroma, and the mean of hue angle, as well as the difference in lightness, the difference in chroma, and the difference in hue. A multiple regression analysis was performed to find the relation of these quantities with the image scale. The results, prediction equations of “warm-cool” and “soft-hard” were derived respectively. The “warm-cool” image has the strongest relation with the difference in hue. When the difference in hue becomes larger, the image of color combinations becomes warmer. While the difference in hue becomes smaller the image becomes cooler. On the other hand, the “soft-hard” image has the strongest relation with the mean of lightness. When the mean of lightness becomes higher, the image becomes softer. While the mean of lightness becomes lower the image becomes harder. The result of fitness evaluation shows that the prediction equations of “warm-cool” and “soft-hard” have good performance for establishing quantitative color combination image scale. It will be useful both for color design and for color analysis.

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