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Reducing the number of calibration patterns for the two-by-two dot centering model

机译:减少二乘二点对中模型的校准图案数量

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The two-by-two dot centering model enables predicting the spectral reflectance of color halftones and does not depend on a specific halftoning algorithm. It requires measuring the reflectances of a large number of two-by-two calibration tile patterns. Spectral measurement of hundreds or thousands of tile patterns is cumbersome and time consuming. In order to limit the number of measurements, we estimate the reflectances of a large majority of two-by-two calibration tile patterns from a small subset comprising less than 10% of all tile patterns. Using this subset of measured two-by-two calibration tile patterns, we perform a linear regression in the absorptance space and derive a transformation matrix converting tile pattern colorant surface coverages to absorptances. This transformation matrix enables calculating the absorptance of all remaining two-by-two tile patterns. For a cyan, magenta and yellow print, with 72 two-by-two measured calibration tile patterns, we are able to create a two-by-two dot centering model having an accuracy only slightly below the accuracy of the model with the fully measured set of 1072 two-by-two tile patterns.
机译:二乘二点对中模型可以预测彩色半色调的光谱反射率,并且不依赖于特定的半色调算法。它需要测量大量的二乘二校准瓷砖图案的反射率。数百或数千个瓷砖图案的光谱测量既麻烦又费时。为了限制测量的数量,我们从包含少于所有图块图案的10%的小子集中,估计了大多数的2 x 2校准图块图案的反射率。使用测量的2 x 2校准图块图案的此子集,我们在吸收率空间中执行线性回归,并导出将图块图案着色剂表面覆盖率转换为吸收率的转换矩阵。该变换矩阵使得能够计算所有剩余的二乘二平铺模式的吸收率。对于青色,品红色和黄色打印,具有72个2比2的测量校准图块图案,我们能够创建2比2点对中模型,其精度仅略低于完全测量的模型的精度1072个2 x 2平铺模式集。

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