文章摘要
刘奔,林茂海,周红霞,李志金.图像复制中的超色域映射技术[J].包装工程,2018,39(1):184-189.
LIU Ben,LIN Mao-hai,ZHOU Hong-xia,LI Zhi-jin.Out-of-gamut Mapping Technology in Image Reproduction[J].Packaging Engineering,2018,39(1):184-189.
图像复制中的超色域映射技术
Out-of-gamut Mapping Technology in Image Reproduction
投稿时间:2017-06-08  修订日期:2018-01-10
DOI:
中文关键词: 图像复制  超色域  色域映射算法
英文关键词: image reproduction  out-of-gamut  color gamut mapping algorithm
基金项目:制浆造纸工程国家重点实验室资助项目(201609)
作者单位
刘奔 齐鲁工业大学济南 250353 
林茂海 1.齐鲁工业大学济南 2503532.华南理工大学制浆造纸工程国家重点实验室广州 510641 
周红霞 齐鲁工业大学济南 250353 
李志金 齐鲁工业大学济南 250353 
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中文摘要:
      目的 提高跨媒体过程中色域映射技术在不均匀空间中的映射效果。方法 通过研究分析CIELAB颜色空间的不均匀性,提出基于色相阶调曲线模型的超色域映射算法。该算法按照红、绿、蓝、青、品、黄以及灰色将颜色分为7类色相相同、饱和度不同的颜色。将这7类颜色从CIERGB空间转换到CIELAB空间,获得的各个散点按照一定的顺序连接起来,便可获得7个色相的空间曲线,并以此来预测图像相同色相、不同饱和度的颜色点。依据空间曲线预测颜色的方法,保持色相恒定性映射超出设备色域边界的颜色点。结果 主观评价显示,HPMINDE, SGCK算法的4位数均为0,新算法平均数为0.8,中位数为1。客观评价显示,测试所用的4幅图像,在HPMINDE, SGCK与新算法的色差平均值分别为12, 11, 10,新算法色差较小。结论 该算法相对于HPMINDE算法和SGCK算法,具有保持颜色色相不变的优越特性,并且映射结果视觉感能达到更好的效果,更适合视觉观察者的偏好。
英文摘要:
      The work aims to improve the mapping effect of color gamut mapping technology in non-uniform space during the cross-media process. An out-of-gamut mapping algorithm based on the hue tone curve model was proposed through the non-uniformity analysis of CIELAB color space. In this algorithm, these colors were divided into seven categories (red, green, blue, black, pink, yellow and gray) with the same hue and different saturations. Through the space transformation of these seven categories of colors from CIERGB to CIELAB, the spatial curve of seven hues could be obtained by connecting all the scattered points according to certain color sequence to predict those color points with the same hue and different saturations. Based on the method that predicted colors according to the spatial curve, the color points whose hue constant mapping was out of the device gamut boundary were kept. Through the subjective evaluation, the four digits of HPMINDE and SGCK algorithms were 0, the mean value of the new algorithm was 0.8, and the median was 1. Through the objective evaluation, the average color difference was calculated by HPMINDE, SGCK and the new algorithm, which respectively were 12, 11 and 10. It was clearly showed that the color difference of the new algorithm was much smaller. Compared with the HPMINDE and SGCK algorithms, the proposed algorithm has the superior characteristics to keep the hue unchanged and achieve better visual effect of mapping results, and its vision performance is preferable for observers.
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