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单参数控制的灰度图像着色
引用本文:刘世光,张翔,吴婧婷,孙济洲,彭群生.单参数控制的灰度图像着色[J].中国图象图形学报,2011,16(7):1297-1302.
作者姓名:刘世光  张翔  吴婧婷  孙济洲  彭群生
作者单位:天津大学计算机科学与技术学院,天津 300072,天津大学计算机科学与技术学院,天津 300072,天津大学计算机科学与技术学院,天津 300072,天津大学计算机科学与技术学院,天津 300072,浙江大学CAD&CG国家重点实验,杭州 310027
基金项目:国家自然科学基金项目(60803047);教育部博士点基金项目(200800561045);北京大学数字中国研究院新研究基金项目(W09HP01-1);空间信息集成与3S工程应用北京市重点实验室(北京大学)开放基金项目(SIIBKL09-1-02)
摘    要:灰度图像着色是计算机图形学和计算机图像处理等领域的研究热点,在影视制作、数字照片编辑、动漫艺术等方面具有重要的应用价值。传统的方法通过大量的交互操作实现灰度图像中不同区域的聚类或者色源图像和灰度图像之间的匹配,大大降低了着色的效率。提出一种新的基于单参数控制的灰度图像着色方法。首先,利用球体几何理论建立色彩变换模型。其次,基于线性回归的方法,对色源图像和灰度图像的直方图分别进行多项式拟合建模。用户输入拟合多项式的阶数之后,可以实现色源图像和灰度图像的自动聚类并建立它们之间的匹配关系。最后,通过色源图像和灰度图像之间的颜色映射实现灰度图像的着色。该方法无须烦琐的用户交互,使得着色过程更为方便快捷。

关 键 词:着色    灰度图像    色源图像    多项式拟合
收稿时间:2010/6/25 0:00:00
修稿时间:4/17/2011 4:40:23 PM

Gray-scale image colorization based on the control of single-parameter
Liu Shiguang,Zhang Xiang,Wu Jingting,Sun Jizhou and Peng Qunsheng.Gray-scale image colorization based on the control of single-parameter[J].Journal of Image and Graphics,2011,16(7):1297-1302.
Authors:Liu Shiguang  Zhang Xiang  Wu Jingting  Sun Jizhou and Peng Qunsheng
Affiliation:Tianjin Univ.
Abstract:Gray-scale image colorization is a hot topic in both computer graphics and image processing. It can be widely applied in film and television production, digital photo editing, animation industry, etc. A great number of user interactions, which greatly reduces the efficiency of colorization, are involved in conventional methods to achieve clustering of the gray-scale image or the matching between the gray-scale image and the source image. This paper presents a novel gray-scale image colorization method based on the control of single-parameter. Firstly, colorization model based on the theory of analytic geometry is presented. Secondly, based on the linear regression method, we calculate the polynomial fitting model of the histograms of the source image and the gray-scale image respectively. After users input the order of the polynomials, the clustering and matching of the source image and the grayscale images could be achieved automatically. Finally, the colorization is realized by transferring the color of source image to its corresponding area of the gray-scale image. This method greatly eliminates the user interactions, making the process of colorization more convenient and efficient.
Keywords:colorization  gray-scale image  source image  polynomial fitting
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