基于色彩传递与扩展的图像着色算法

Image Colorization Based on Color Transfer and Propagation

色彩的不均匀一直是色彩传递算法中没有解决的问题。一些传统的算法只是单独依靠像素点的匹配来进行色彩传递,难以保证处理后图像色彩在空间上的连续性,即某些像素点的色彩和它周围的色彩反差较大。针对此问题,提出了一种基于色彩传递与扩展的图像着色算法,先利用传统的色彩传递方法,在lαβ空间对灰度目标图像进行局部上色,然后再利用色彩扩展的算法,对其他未经过上色的区域进行色彩扩展,完成整幅灰度目标图像的自动彩色化过程。实验得到了色彩细腻均匀的结果图像,验证了算法的实用性。

The color uniformity is one of the important problems that haven＇t been solved with the color transferring technique yet. Some traditional methods of the color transferring between images are based on the pixels matching. These methods can＇t ensure that the color of the colofized image feels well. In other words, it means that the color of some pixels is distinct from the color of their neighbors in the colorized target images. This paper presents an image eolorization method based on color transfer and propagation. First, it obtains a part-colored image from transferring color to the grayscale image using traditional technique in the lαβ color space. Then it makes the local colors be automatically propagated to produce a fully colorized image. In experiments, the color of the colorized images obtained is very good and the results demonstrate the practicality of this method