基于视觉灰平衡的灰成分替代

Gray Component Replacement Based Visual Gray Balance

提出了视觉灰平衡的概念和模型,并应用于分色过程中的灰成分替代。首先,以视觉中性灰色的色度值为标准,使用查找表的方法获取了视觉灰平衡数据,然后基于中性灰密度,建立了K与CMY替代方程,最后设置4种不同的替代率,对CMY色块进行灰成分替代。实验结果表明,当替代率设置为0.4时,计算出与未取代的灰色之间的色差最小,并且扩大了中亮调的色域范围。

The concepts and models of visual gray balance were proposed and applied in gray component replacement of color separation process. Visual gray balance data was acquired by look-up-table based on chromaticity of visual gray. The equation between K and CMY was established based on neutral gray density. 4 kinds of replacement ratio were assigned replace the gray component of CMY color patches. The experiment results showed that when the replace- ment ratio is 0.4, the color difference between the calculated and the original gray color patch is smallest ; the color gamut is expanded in light and middle tone.