赵天明,刘诗德.基于立方体内缩的反向颜色空间转换算法[J].包装工程,2017,38(17):200-205.
ZHAO Tian-ming,LIU Shi-de.Inverse Color Space Conversion Algorithm Based on Cube Inner Contraction[J].Packaging Engineering,2017,38(17):200-205. |
| 基于立方体内缩的反向颜色空间转换算法 |
| Inverse Color Space Conversion Algorithm Based on Cube Inner Contraction |
| 投稿时间：2017-01-19 修订日期：2017-09-10 |
| DOI： |
| 中文关键词: 颜色空间 色空间转换 三维查表插值法 立方体内缩 色差 |
| 英文关键词: color space color space conversion three-dimensional look-up table interpolation method cube inner contraction chromatic aberration |
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| 中文摘要: |
| 目的 提出一种基于立方体内缩的反向颜色空间转换算法，实现颜色值从CIELab颜色空间到RGB颜色空间的转换。方法 选取4096组建模点和512组测试点，以三维查表插值法为理论基础，设计一种基于立方体内缩的方法逐步搜索符合条件的特征点来代替测试点，计算得到测试点反向转换后的RGB值。结果 通过CIELAB 1976, CIE94和CIE2000色差公式对算法的转换精度进行评价，计算测试点的Lab值和反向转换得到RGB值对应的Lab值之间的色差。测试点的平均色差分别为2.07, 1.53和0.96，大部分色差的分布范围在0~3之间，算法的转换精度较高。测试点反向转换后的结果较为理想，在绿色调区域和亮度较低的红色调区域的精度可进一步提升。结论 实验结果表明此算法可精准、快速、有效地实现颜色值从CIELab颜色空间到RGB颜色空间的转换。 |
| 英文摘要: |
| The work aims to propose a reverse color space conversion algorithm based on the cube inner contraction, in order to realize the conversion from CIELab color space to RGB color space. By selecting 4096 group modeling points and 512 group test points and taking the three-dimensional look-up table interpolation method as the theoretical basis, a method based on the cube inner contraction was designed to search the eligible feature points to replace the test points step by step, and then the RGB values of test points after reverse conversion were calculated. The conversion accuracy of the algorithm was evaluated by CIELAB 1976, CIE94 and CIE2000 chromatic aberration formula, and the chromatic aberration between the Lab value of the test point and the corresponding Lab value from the reversely converted RGB was calculated. The average chromatic aberrations of the test points were 2.07, 1.53 and 0.96 respectively. The distribution range of most chromatic aberrations was between 0 and 3, and the conversion accuracy of the algorithm was quite high. The result of test points after reverse conversion was ideal, but the accuracy in the green area and in the red low-brightness area could be further enhanced. The experimental results show that this algorithm can realize the conversion from CIELab color space to RGB color space accurately, quickly and effectively. |
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