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首页> 外文期刊>Journal of Imaging Science and Technology >Calibrating the Yule-Nielsen Modified Spectral Neugebauer Model with Ink Spreading Curves Derived from Digitized RGB Calibration Patch Images
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Calibrating the Yule-Nielsen Modified Spectral Neugebauer Model with Ink Spreading Curves Derived from Digitized RGB Calibration Patch Images

机译：使用数字化RGB校准补丁图像得出的油墨传播曲线校准Yule-Nielsen改进的光谱Neugebauer模型

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摘要

The Yule-Nielsen modified spectral Neugebauer model (YNSN) enhanced for accounting for ink spreading in the different ink superposition conditions requires a spectrophotometer to measure the reflectances of halftone calibration patches in order to compute the ink spreading curves mapping nominal ink surface coverage to effective ink surface coverage. Instead, as a first step towards the "on the fly" characterization of printers, we try to deduce the ink spreading curves from digitized RGB images of halftone calibration patches. By applying the Yule-Nielsen broadband formula to the average RGB intensities, we deduce the effective dot surface coverages of halftone calibration patches. We then establish the ink spreading curves mapping nominal dot surface coverages to effective dot surface coverages. By weighting the contributions of the different ink spreading curves according to the ratios of colorant surface coverages, we predict according to the YNSN model the reflectance spectra of the test patches. We compare the prediction accuracy of the YNSN model calibrated by digitized RGB intensities of the calibration patches with the prediction accuracy of the same model calibrated by the spectral reflectances of these calibration patches. The decrease in spectral prediction accuracy due to RGB model calibration is about 30% for ink jet prints and 10% for thermal transfer prints.
机译：为了解决在不同油墨叠加条件下的油墨扩散而增强的Yule-Nielsen改进的光谱Neugebauer模型（YNSN），需要使用分光光度计来测量半色调校准贴片的反射率，以便计算将标称油墨表面覆盖率映射到有效油墨的油墨扩散曲线。表面覆盖。相反，作为实现打印机“动态”表征的第一步，我们尝试从半色调校准色标的数字化RGB图像推导出墨汁扩散曲线。通过将Yule-Nielsen宽带公式应用于平均RGB强度，我们得出了半色调校准色块的有效点表面覆盖率。然后，我们建立将标称点表面覆盖率映射到有效点表面覆盖率的墨水扩散曲线。通过根据着色剂表面覆盖率的比率加权不同墨水扩散曲线的贡献，我们根据YNSN模型预测了测试斑块的反射光谱。我们将通过校准补丁的数字化RGB强度校准的YNSN模型的预测精度与通过这些校准补丁的光谱反射率校准的同一模型的预测精度进行比较。由于RGB模型校准而导致的光谱预测准确性下降，对于喷墨打印而言约为30％，对于热转印打印而言约为10％。

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