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首页> 外文期刊>Journal of neurosurgical sciences >Magic Prints: Image-Changing Prints Observed under Visible and 365 nm UV Light
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Magic Prints: Image-Changing Prints Observed under Visible and 365 nm UV Light

机译:魔术印刷品:在可见光下观察到的图像更改印刷品和365 nm uv灯

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摘要

In this paper we propose a novel layered-printing method consisting of superposed visible cmy and invisible fluorescent ultraviolet (UV) rgb inks. Our approach can be used to generate a variety of visual color-alteration effects such as revealing two completely distinct images when the print is illuminated with either standard visible or 365 nm ultraviolet (UV) light (Figure 1). This is achieved by computing the maximum achievable color gamuts for both illumination conditions, generating accurate estimates, and applying a spatial-varying gamut mapping to minimize potential ghosting artifacts and calculate the optimal ink surface coverages that, when printed, generate the desired image-alteration effect. Our method uses invisible UV-rgb fluorescent inks which are printed onto a transparent film. It is placed on top of a visible print consisting of standard cmy inks. By separating the UV and the visible inks using the transparent film, physical mixing of the two different ink types is avoided. This significantly increases the intensity of the fluorescent emission resulting in stronger and more vivid color-alteration effects. Besides the revealing of two different images, the same method can be applied for other use cases as well, such as enhancing or adding specific parts to an image under one illumination condition, generating personalized document security features, or aiding color-blind people in color distinction. (C) 2019 Society for Imaging Science and Technology.
机译:本文提出了一种新的分层印刷方法,包括叠加的可见CMY和隐形荧光紫外(UV)RGB油墨。我们的方法可用于生成各种视觉色彩改变效果,例如当用标准可见或365nm紫外(UV)光照射打印时,揭示两个完全不同的图像(图1)。这是通过计算照明条件的最大可实现的色域来实现的,产生准确的估计,并应用空间变化的色域映射来最小化潜在的重影伪像并计算最佳墨水表面覆盖,即在打印时产生所需的图像变更影响。我们的方法使用印刷到透明薄膜上的看不见的UV-RGB荧光墨水。它位于由标准CMY墨水组成的可见印刷品顶部。通过使用透明膜分离UV和可见墨水,避免了两种不同墨水类型的物理混合。这显着增加了荧光排放的强度,导致更强更生动的颜色改变效应。除了揭示两个不同的图像外,还可以应用于其他用例,例如在一个照明条件下增强或添加特定部分,例如在一个照明条件下,生成个性化文档安全功能,或帮助颜色的色盲人区别。 (c)2019年成像科技协会。

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