人体脸部灰度图像上色的改进算法
Improvement of Colorizing Algorithm for Greyscale Face Image
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摘要: 采用分块多分辨率上色方法,首先对低分辨率灰度图像上色;然后再对高分辨率图像做颜色变换.基于亮度、邻域信息和空间相关性的相似性测度控制像素的上色.实验结果表明,该算法可以改进脸部图像的上色效果,且提高了上色速度.Abstract: A swatch-based mutli-resolution colorization algorithm is presented.The lower resolution greyscale image is first colorized following the original image,then color transfer is conducted for the higher resolution image.Luminance,neighborhood information and space correlation of pixels are used to control the pixel colorization.Experiments show that the colorizing result of gray face image is improved and the processing time is reduced.
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