摘要
图像间的颜色传输是将一幅图像的颜色特征传输给另一幅图像,使目标图像具有与参考图像相似的色彩。提出一种自动的、快速颜色传输算法。在HSV空间模糊聚类生成代表不同色调特征的样本区域;通过计算各样本区域的特征向量间的距离,建立样本区域之间的匹配关系;利用图像在ιαβ空间的基本统计信息进行局部颜色传输;最后利用隶属度因子融合局部传输效果。对有效色调值进行加权聚类,大大降低聚类样本数量,在取得较好的颜色传输效果的同时,显著地提高了传输速度。
Transferring color between images is a method that uses one image' s color from another. This paper presents a fast auto color transferring method. Fuzzy clustering algorithm produces a certain number of sample patches with different hue characteristics. Then this method creates correspondence by computing the distance of feature vectors between sample patches in the reference and target images. The local color information is transferred from the matched sample patch in the reference image to the target one in lαβ space. The weight clustering of effective hue cuts down the number of sample immensely. Therefore it improves the speed of color transfer significantly, and in the meantime does not damage the transfer quality.
出处
《中国图象图形学报》
CSCD
北大核心
2011年第4期613-617,共5页
Journal of Image and Graphics
基金
中国博士后科学基金项目(20080431094)
关键词
颜色传输
模糊聚类
颜色空间
color transfer
fuzzy clustering
color space