Image-brightness prediction model for wide-color-gamut displays based on Helmholtz–Kohlrausch (H–K) effect

IF 3.7 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Hyeyoung Ha, Hayoung Lee, Inhye Heo, Young-Jun Seo, Hyosun Kim, Yongwoo Yi, Jaejoong Kwon, Changhee Lee
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引用次数: 0

Abstract

A wider array of color gamut and higher luminance are increasingly offered by displays to provide users with immersive content. However, in the latest displays available, it is difficult to predict image brightness because the extensively used color appearance model is made based on a color patch whose color appearance is not the same as that of an image on the display. Therefore, in this study, a method of predicting image brightness on a display depending on its color gamut by quantifying the Helmholtz–Kohlrausch (H–K) effect is proposed. A method for accurately measuring image luminance is also presented. To verify the performance of the proposed model, a brightness matching experiment is performed under two different color gamut sizes. The experimental results confirm that the image appears brighter with the increase in color gamut due to the H–K effect, demonstrating that the proposed prediction model exhibits desirable performance. The proposed brightness prediction model, which includes the image experience in the color range, delivers better image quality to users.
基于Helmholtz–Kohlrausch(H–K)效应的宽色域显示器图像亮度预测模型
越来越多的显示器提供更宽的色域和更高的亮度,为用户提供身临其境的内容。然而,在现有的最新显示器中,由于广泛使用的色彩外观模型是基于与显示器上的图像颜色外观不相同的色块建立的,因此难以预测图像的亮度。因此,在本研究中,提出了一种通过量化亥姆霍兹- kohlrausch (H-K)效应来预测显示器上图像亮度的方法。提出了一种精确测量图像亮度的方法。为了验证该模型的性能,在两种不同色域下进行了亮度匹配实验。实验结果证实,由于H-K效应,图像随着色域的增加而变亮,表明所提出的预测模型具有良好的性能。提出的亮度预测模型包含了色彩范围内的图像体验,为用户提供了更好的图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Information Display
Journal of Information Display MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
7.10
自引率
5.40%
发文量
27
审稿时长
30 weeks
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