基于色度特征化的乾隆色谱跨设备色彩再现  

Cross⁃media reproduction of Qianlong palette color based on characterization model

作　　者：苏淼[1,2] 李赛权 杨丽梅 段怡婷 鲁佳亮[1,2] 周凯丽 SU Miao;LI Saiquan;YANG Limei;DUAN Yiting;LU Jiaiang;ZHOU Kaii(College of Textile Science and Engineering(International Institute of Silk),Zhejiang Sci-Tech University,Hangzhou,Zhejiang310018,China;International Center for Silk and Silk Road Studies,Hangzhou,Zhejiang310018,China;Zhejiang Sci-Tech University Shengzhou Innovation Research Institute,Shaoxing,Zhejiang311800,China;School of Design,University of Leeds,Leeds LS29JT,UK)

机构地区：[1]浙江理工大学纺织科学与工程学院(国际丝绸学院),浙江杭州310018 [2]浙江理工大学国际丝绸与丝绸之路研究中心,浙江杭州310018 [3]浙江理工大学嵊州创新研究院,浙江绍兴311800 [4]利兹大学设计学院,英国利兹LS29JT

出　　处：《纺织学报》2023年第10期104-112,共9页Journal of Textile Research

基　　金：国家重点研发计划项目(2019YFC1521301);浙江省文物保护专项(2021016);国家社科基金项目(20WYSB006)。

摘　　要：色彩失真现象普遍存在于图像在不同设备之间传输的过程中,为保证纺织文物图像跨设备的色彩真实再现,继而推进博物馆数字化发展,在乾隆色谱染色丝织物的基础上,分别对数码相机和显示屏进行色度特征化,并讨论了不同图像格式、不同训练数据集、多项式不同阶数对相机预测模型精度的影响,同时采用增益-偏置-伽马模型(GOG模型)对显示屏进行色度特征化,然后对乾隆色谱跨设备再现情况进行色差分析以确定最优特征化模型,最后采用中国丝绸博物馆馆藏纺织品文物对建立模型进行检验。结果表明:选择RAW格式图像和三阶多项式对相机进行色度特征化处理,并使用采集的纺织品颜色数据集训练模型,模型的精度可达到2.18(ΔE_(ab)^(∗))(CIEDE2000色差值);显示器特征化模型精度为0.58(ΔE_(ab)^(∗));乾隆色谱跨设备再现的色差均值为2.16(ΔE_(ab)^(∗)),真实丝绸文物跨设备再现的色差值为2.38(ΔE_(ab)^(∗)),表明该特征化模型具有优异的跨设备色彩再现效果。Objective Digital museums break through the barriers of space and time,expanding the range of collections in the form of video and images.However,in the process of museum relic image collection or online display,image reproduction across equipment is prone to color distortion phenomena such as eclipse,color deviation,affecting the visual effect of the image due to the correlation characteristics of color equipment and the lack of standard image collection conditions.In order to solve this problem,the Qianlong palette silk fabric was taken as the research objective to carry out the cross-device color reproduction of textile relic images,aiming to provide support for the establishment of digital museum.Method On the basis of Qianlong palette silk fabric,the color characterization of digital camera and display screen were carried out respectively.The influences of different image formats,different training data sets and different order of polynomial on the accuracy of camera prediction model were discussed.At the same time,the Gain-Offset-Gamma(GOG)model was used to characterize the chrominance of display screen.Then color difference analysis was carried out to determine the optimal characteristic model of Qianlong chromatography reappearance across equipment.Finally,textile relics collected in the Silk Museum of China were used to test the model.Results In this study,color information and image information were collected from 210 colors of Qianlong palette.The absence of Qianlong palette in blues(B)and blue-green tones(BG)may be due to the fact that indigo was the only natural blue dye selected in this study,and a stronger dye bath may have biased indigo stained samples towards purple tones(Fig.6).The L^(∗) values of all 210 colors ranges from 17.85 to 78.13(Fig.7),210 colors are distributed in four quadrants of the a^(∗)-b^(∗)plane of CIELAB color space,and is widely distributed in the first quadrant(Fig.8).The Qianlong palette covers different color series.Among all the colors,red and yellow are the main co

关 键 词：乾隆色谱 色度特征化 丝绸文物 跨设备 色彩再现 

分 类 号：O432.3[机械工程—光学工程]