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A method of obtaining gray balance data based on polynomial regression

机译:一种基于多项式回归获取灰色平衡数据的方法

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As gray balance is very important for color separation and printing quality control, a method based on polynomial regression is proposed to determining the gray balance data in printing process. Firstly the patches on GrayFinder target of GRACoL proof are measured and the L*a*b* values are obtained, then the relationship between L*a*b* and CMY is determined by using the polynomial regression method, at last the different lightness' corresponding CMY values are found which constitute the gray balance data by using the relationship obtained above. In the experiment, 8 gray patches are used to test the algorithm, and the result shows the average error is 0.969 with the maximal error 2.047 which indicates that the method can be used to find gray balance data.
机译:由于灰色平衡对于颜色分离和印刷质量控制非常重要,因此提出了一种基于多项式回归的方法,以确定打印过程中的灰色平衡数据。首先,测量GRACFINDER抛射射精目标的贴片,并获得L * A * B *值,然后通过使用多项式回归方法,最后不同的亮度来确定L * a * b *和CMY之间的关系找到相应的CMY值,其通过使用上面获得的关系构成灰色平衡数据。在实验中,使用8个灰色贴片来测试算法,结果显示平均误差为0.969,最大误差2.047表示该方法可用于查找灰色平衡数据。

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