一种多视点视频自动颜色校正系统

A Multi-View Video Automatic Color Correction System

针对多视点视频系统中视点间图像颜色不一致的问题,提出了一种多视点视频自动颜色校正系统。通过求取目标图像和源图像间的颜色校正矩阵,判断其是否满足全局校正的要求;对不满足要求的图像,通过图像分割和K-L变换(Karhunen-Loeve transform),建立起目标图像和源图像中各分割区域间的局部映射关系,并通过感兴趣区域匹配,来实现对源图像的校正,最后通过视频跟踪技术实现对视频图像的校正。以标准的多视点测试图像集为例,通过将新方法与直方图匹配、全局一维线性校正算法等进行比较,表明新方法能消除匹配失真的影响,且具有较好的颜色校正效果。研究结果表明该系统可以很好地揭示图像间的颜色变化关系,并且具有很好的内容自适应性,是一种有效的多视点视频图像系统颜色校正方法。

In order to solve non-consistence color appearance between different viewpoint images, a multi-view video automatic color correction system is proposed. Global correction matrix is first obtained between target image and source image, then estimate whether global correction is satisfied. If no global correction is satisfied, image segmentation and Karhunen-Loeve transform are performed. Then local mapping relations between target image and source image segmentation regions can be established. And preferred region color mapping is performed to correct source image. Finally video tracking technique is used to correct video images. For the standard multi-view images, compared with histogram matching and global one dimension correction algorithms, experimental results show that the proposed algorithm can effectively eliminate the influence of matching distortion, and achieve good correction result. The studies indicate that the system can apropos reveal color change relation existing in images, has capability of showing content adaptivity, and also is important method of color correction.