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Effects of saturation contrast on color recognition in night vision goggles

机译:饱和对比对夜视镜中色彩识别的影响

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In the past we have examined the luminance contrast ratios required to maintain color recognition in helmet-mounted displays (HMDs). Using typical daytime viewing conditions as simulated backgrounds we were able to determine 95% correct color recognition thresholds resulting in luminance contrast ratios averaging 1.17:1. Last year we adapted this research to determine the best colors to maintain color recognition of symbology that is on a night vision goggle (NVG) image. We simulated NVG P43 green phosphor and determined 95% correct color recognition thresholds. Results indicated that, on average, a luminance contrast ratio of nearly 1.5:1 was required to maintain color recognition. Review of the studies indicated that our simulated P43 phosphor was a much more saturated background, so saturation contrast may play as important a role as luminance contrast. A P45 white phosphor NVG may therefore be less problematic. Here we investigate the effects of both luminance and saturation contrast by manipulating color mixtures of green, yellow, and red symbology against two different backgrounds, P43 green and P45 white. We discuss our results in terms of both luminance and saturation contrast required for the maintenance of color recognition in NVGs.
机译:在过去,我们已经检查了在头盔安装的显示器(HMDS)中保持颜色识别所需的亮度对比度。使用典型的日间观看条件作为模拟背景,我们能够确定95%正确的颜色识别阈值,导致亮度对比度比率为1.17:1。去年,我们改编了这项研究,以确定保持夜视滑眼镜(NVG)图像上的符号系统的颜色识别的最佳颜色。我们模拟了NVG P43绿色磷光体,并确定了95%的正确颜色识别阈值。结果表明,平均需要近1.5:1的亮度对比度来维持色彩识别。研究综述表明,我们的模拟P43磷光体是更饱和的背景,因此饱和对比可能与亮度对比度的重要作用发挥作用。因此,P45白磷光体NVG可能不太问题。在这里,我们通过操纵绿色,黄色和红色符号学的颜色混合物对两个不同的背景,P43绿色和P45白色的颜色混合物来调查亮度和饱和度对比的影响。我们在维护NVGS中维护颜色识别所需的亮度和饱和对比度方面讨论我们的结果。

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