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基于Kubelka-Munk理论的光谱配色算法研究 被引量:8

Research of Spectral Color Matching Algorithm Based on Kubelka-Munk
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摘要 为了计算出更为精确的专色油墨配方,保证专色油墨在提高印刷速度与印刷质量的同时,保持色彩再现的一致性。选取Pantone297C、Pantone273C、Pantone450C 3个专色作为标样,建立C、M、Y、BK四色油墨的基础数据库,并对标样、底基以及四色油墨的样条进行桑德森修正。根据Kubellka-Munk单常数光谱配色算法,在Matlab中建立单常数的光谱配色模型,确定标样的油墨配方,通过比较目标色与配方色样的光谱反射率以及色差,验证油墨配方的准确性。实验结果表明Pantone297C、Pantone273C、Pantone450C目标色与配方色样反射率曲线基本吻合:对于Pantone297C,标样与配样的色差为ΔE=1.21;对于Pantone273C,标样与配样的色差为ΔE=0.96;对于Pantone450C,标样与配样的色差为ΔE=2.65。从而验证了四色油墨基础数据库的准确性以及基于Kubellka-Munk单常数光谱配色算法的实用性。 In order to calculate the ink formula more precisely and ensure the consistency of color reproductionbased on improving printing speed and printing quality,Pantone297C、Pantone273C、Pantone450C were used asthe standard samples in experiment,with the database establishment of CMYK four color printing ink and Saundersoncorrection of standard sample,base materials and four color printing ink.In Matlab,the single constant color matchingmodel was set up to calculate ink formula and verify the accuracy of ink formulation by comparing the spectralreflectance and color difference of target and matching colors.Experimental results showed that reflectance curves oftarget and matching colors of Pantone297C,Pantone273C,Pantone450C were basically consistent.For Pantone297C,the color difference of target color and matching color was1.21,while it was0.96for Pantone273C and2.65forPantone450C,which verified the correctness of the four color ink database and the practicability of the single constantspectrum matching algorithm based on Kubellka-Munk.
作者 赵德方 黄新国 ZHAO Defang;HUANG Xinguo(School of Printing and Packaging,Wuhan University,Wuhan 430079,China;School of Packaging and Materials Engineering,Hunan University of Technology,Zhuzhou Hunan 412007,China;Time Publishing and Media Co.,Ltd.,Hefei 230071,China)
出处 《包装学报》 2017年第1期46-52,共7页 Packaging Journal
基金 湖南省教育厅科学研究基金资助项目(14C0324) 安徽省博士后研究人员科研基金资助项目(2015B060)
关键词 专色油墨 油墨配方 KUBELKA-MUNK理论 基础数据库 配色模型 spot color ink ink formulation Kubellka-Munk database color matching model
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