使用显示颜色配置文件的光学透明显示器的颜色校正

Srikanth Kirshnamachari Sridharan, Juan David Hincapié-Ramos, David R. Flatla, Pourang Irani
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引用次数: 55

摘要

在光学透明显示器中,来自背景物体的光与来自显示器的光混合,导致所谓的颜色混合问题。颜色混合会对这些显示器的可用性产生负面影响,因为它会影响数字内容的易读性和颜色编码。色彩校正的目的是通过找到一种替代的显示颜色来减少色彩混合的影响,这种颜色一旦与背景混合,就会产生最初预期的颜色。本文基于光学透明显示器引起的两种畸变,建立了混色模型。渲染失真解释了显示器如何渲染颜色。材料失真解释了显示材料如何改变背景颜色。我们展示了渲染失真对颜色混合有较大的影响,并提出了分类配置文件(BP)——显示如何渲染颜色的描述符——来解决这个问题。结果表明,使用BP进行颜色混合预测的错误率很低——在最坏的情况下,错误率在9个可注意的差异(JND)以内。介绍了一种基于BP预测的色彩校正算法,并测量了其校正能力。结果表明,光显示颜色可以更好地校正所有背景。对于高强度背景,中性和蓝蓝区域的浅色表现更好。最后,我们详细阐述了我们的方法的适用性、设计和硬件含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color correction for optical see-through displays using display color profiles
In optical see-through displays, light coming from background objects mixes with the light originating from the display, causing what is known as the color blending problem. Color blending negatively affects the usability of such displays as it impacts the legibility and color encodings of digital content. Color correction aims at reducing the impact of color blending by finding an alternative display color which, once mixed with the background, results in the color originally intended. In this paper we model color blending based on two distortions induced by the optical see-through display. The render distortion explains how the display renders colors. The material distortion explains how background colors are changed by the display material. We show the render distortion has a higher impact on color blending and propose binned-profiles (BP) - descriptors of how a display renders colors - to address it. Results show that color blending predictions using BP have a low error rate - within nine just noticeable differences (JND) in the worst case. We introduce a color correction algorithm based on predictions using BP and measure its correction capacity. Results show light display colors can be better corrected for all backgrounds. For high intensity backgrounds light colors in the neutral and CyanBlue regions perform better. Finally, we elaborate on the applicability, design and hardware implications of our approach.
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