基于胞元搜索的显示器颜色特征化模型
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国家自然科学青年基金资助项目(61301231)


A Monitor Colorimetric Characterization Model Based on Cell-Search Method
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    摘要:

    为提高显示器颜色转换模型的精度,提出了一种基于胞元搜索的四面体插值特征化模型。该模型首先对查找表数据进行胞元划分,通过胞元搜索的方法,找到目标颜色所属的立方体子空间,然后运用四面体反向插值,实现颜色从CIE Lab空间到RGB空间的转换。检测样本的试验数据表明:所提模型的预测精度较高,平均色差达到0.95 CIE Lab色差单位,94%的样本色差值小于3 CIE Lab色差单位。新模型的数据结果优于已有文献算法的,因而,所提颜色特征化模型可实现显示器颜色空间的准确转换。

    Abstract:

    A colorimetric characterization model based on cell-search method with tetrahedral interpolation was proposed to improve the precision of the color conversion model for monitors. The lookup table data was divided into cells to find the cube space of the target color by cell-search method, and the color space conversion from CIE Lab space to RGB space was realized by using the tetrahedral inverse interpolation. The experimental data of the tested color samples showed that the proposed model had high precision accuracy with the mean color difference of 0.95 CIE Lab, and color differences of 94% color samples were less than 3 CIE Lab units. The result of data in new model was superior to the existing literature algorithm results and the proposed colorimetric characterization model could realize the accurate conversion of monitor's color spaces.

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聂 鹏,孔玲君.基于胞元搜索的显示器颜色特征化模型[J].包装学报,2016,8(1):63-67.

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  • 收稿日期:2015-10-06
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  • 在线发布日期: 2016-01-15
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