摘要
针对三维彩色扫描仪多个传感器获得的彩色纹理图像存在色彩差异,导致重建的三维彩色模型表面出现色彩分块现象的问题,提出一种基于色彩迁移的纹理图像色彩修正方法。首先,利用综合质量图像评价函数(CAF)进行图像质量评价,从多个传感器获得的彩色纹理图像中选出一幅质量最佳的作为标准图像;然后,参照该图像调整其他纹理图像各个色彩通道的色彩均值、方差等统计量。将所提方法用于三维人体彩色扫描仪的纹理图像色彩修正,结果表明,色彩修正后纹理图像间的色彩差异减小,得到的三维人体彩色模型色彩分块现象得到明显改善,色彩更加均衡自然。与经典色彩变换方法、改进色彩变换方法、基于最小角度选择的融合方法相比,实验的主观效果和客观图像综合质量评价值都表明了该方法的优越性。
The texture images obtained by multiple sensors of 3D color scanner have color difference,resulting in color block in the 3D color model surface. In order to solve this problem,a modified method based on color transfer was proposed.First,the comprehensive assessment quality function was used to choose the best one of the color texture images obtained by multiple sensors as the standard image. Then,the mean and variance of other texture images in each color channel were adjusted refering to the standard image. The proposed method was applied to texture image color correction of 3D human body color scanner. The result shows that,after modifying the color difference between texture images,the color block of the color3 D body model is significantly improved with more balanced and natural color. Compared with the classical method,the improved color transformation method and the method based on the minimum angle selection method,the subjective and objective evaluation results prove the superiority of the proposed method.
出处
《计算机应用》
CSCD
北大核心
2016年第4期1075-1079,共5页
journal of Computer Applications
基金
国家自然科学基金面上项目(61177002)~~
关键词
传感器
纹理图像
色彩差异修正
三维人体彩色模型重建
sensor
texture image
color difference correction
3D human color model reconstruction
