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首页> 外文期刊>Journal of neurosurgical sciences >Calculation of Scalars in Neugebauer-Like Models. II: Final Scalar Function is Copula
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Calculation of Scalars in Neugebauer-Like Models. II: Final Scalar Function is Copula

机译:基于新ugebauer的模型中的标量计算。 II:最终标量函数是copula

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Neugebauer-type models for reflectance factor spectra produced by halftone-based color hardcopy rely on the spectra of the so-called Neugebauer primaries, an invertible function of reflectance, and a weight, or scalar, for each Neugebauer primary. This paper discusses the calculation of the third factor. Research has, until now, relied heavily, perhaps exclusively, on just three parameter-less sets of equations to compute these scalars. In the previous paper in this series, it was shown how the scalar for each Neugebauer primary could be computed from the function governing the scalar of the primary consisting of all colorants, the so-called final scalar. In this paper, conditions necessary and sufficient for a function to provide the final scalar are recited. Copulas, an entire class of functions from probability theory, also satisfy these conditions, and therefore may be used for final scalar calculation. Halftone patterns generated by a raster image processor were used to assess potential improvement in final scalar accuracy in two-colorant dot-on-dot printing with a slight amount of misregistration. Using a copula new to this application resulted in a nearly ten-fold improvement in accuracy over the best-performing overlap models in the prior art, indicating significant increases in accuracy are to be expected with actual printed artifacts. (C) 2018 Society for Imaging Science and Technology.
机译:半色调的颜色硬拷贝产生的反射率因子光谱的新台布尔型模型依赖于所谓的新海宾师初学者的光谱,反射率的可逆函数,以及每个Neugebauer主要的重量或标量。本文讨论了第三个因素的计算。到目前为止,研究大量依赖于,只有三个参数等方程式依赖,可以计算这些标量。在本系列中的前一篇文章中,显示了如何从管理所有着色剂组成的主节的标量的函数来计算每个Neugebauer初级的标量,所谓的最终标量。在本文中,记录了提供最终标量的功能所必需和足以提供的条件。 Copulas,来自概率理论的整类功能,也满足这些条件,因此可以用于最终标量计算。由光栅图像处理器产生的半色调图案用于评估两种着色剂点圆点印刷中最终标量精度的潜在改善,具有少量的错位。使用新应用程序的Copula导致现有技术中最佳的重叠模型的准确性提高近10倍,指示需要对实际印刷的伪像预期精度的显着增加。 (c)2018年成像科技协会。

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