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Model-Based Deduction of CMYK Surface Coverages from Visible and Infrared Spectral Measurements of Halftone Prints

机译:从半色调打印的可见光谱和红外光谱测量中基于模型的CMYK表面覆盖率推导

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摘要

The Yule-Nielsen modified Spectral Neugebauer reflection prediction model enhanced with an ink spreading model provides high accuracy when predicting reflectance spectra from ink surface coverages. In the present contribution, we try to inverse the model, I.e. to deduce the surface coverages of a printed color halftone patch from its measured reflectance spectrum. This process yields good results for cyan, magenta, and yellow inks, but unstable results when simultaneously fitting cyan, magenta, yellow, and black inks due to redundancy between these four inks: black can be obtained by printing either the black ink or similar amounts of the cyan, magenta, and yellow inks. To overcome this problem, we use the fact that the black pigmented ink absorbs light in the infrared domain, whereas cyan, magenta, and yellow inks do not. Therefore, with reflection spectra measurements spanning both the visible and infrared domain, it is possible to accurately deduce the black ink coverage. Since there is no redundancy anymore, the cyan, magenta, yellow, and pigmented black ink coverages can be recovered with high accuracy.
机译:当根据墨水表面覆盖范围预测反射光谱时,通过墨水扩展模型增强的Yule-Nielsen改进的光谱Neugebauer光谱反射预测模型提供了高精度。在目前的贡献中,我们尝试对模型进行反演,即从其测得的反射光谱推断出彩色半色调色块的表面覆盖率。对于青色,品红色和黄色墨水,此过程可获得良好的结果,但是由于同时使用青色,品红色,黄色和黑色墨水,这四种墨水之间存在冗余,因此结果不稳定:黑色可以通过打印黑色墨水或类似量的墨水来获得青色,品红色和黄色墨水。为克服此问题,我们使用黑色颜料墨水吸收红外域中的光,而青色,品红色和黄色墨水则不吸收这一事实。因此,利用跨越可见域和红外域的反射光谱测量结果,可以准确地推断出黑色墨水的覆盖范围。由于不再存在冗余,因此可以高精度地恢复青色,品红色,黄色和有色黑色墨水的覆盖范围。

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