摘要
灰度图像的彩色化是将一幅彩色图像的颜色特征传递给另一幅灰度图像,使灰度目标图像具有与源彩色图像相似的颜色。提出了一种快速灰度图像彩色化算法,将图像像素邻域相关特性引入到匹配像素的搜索过程中。搜索匹配像素时,先在当前像素的邻域范围内进行搜索,只在邻域搜索失效时才进行全图范围的搜索,由于像素邻域相关特性,大部分像素可以在邻域搜索中找到匹配像素,只有极少像素需要进行全图搜索,从而较大地降低了搜索代价,在取得较好的彩色化效果的同时,显著地提高了彩色化速度。
Groyscale image colorizing is a method that transplants color characteristics from a colorized image, source image to a greyscale image, destination image. This method makes the destination image complete with similar color with the source image. We present a fast colorizing algorithm, which introduces the pixel neighborhood relativity into the search procedure for the matched pixels. During the matching, this algorithm searches the current pixel＇ s neighborhood firstly and only searches the whole areas when it failed in the first step. Due to the pixel neighborhood relativity, most pixels can find their matches and only a few of them need to search in the whole area. Therefore it cuts down the cost of searching, improves the speed of colorizing significantly, and in the meantime does not damage the colorizing quality.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第3期536-540,共5页
Journal of Image and Graphics
关键词
彩色化
颜色空间
图像处理
邻域相关性
colorizing, color space, image processing, neighborhood relativity
