A Color Transfer Algorithm Based on Neighborhood Correlation and Optimization Techniques
The traditional Welshs grayscale image colorization method for color transferring is based on pixels luminance information only. The method generally cannot ensure the continuity of image transferring effect in space. This paper presents a color transfer algorithm based on neighborhood correlation and optimization techniques, which not only considers neighborhoods luminance information but also makes full use of colored pixels color information. The algorithm automatically produces the initial colorized image via a color transfer method, removes the color information of pixel that is completely different from neighborhood pixels to form the regions of color seed and then use some optimization techniques to complete the colorization process by diffusing the distribution of color seed to the corresponding regions of image. Experimental results show that the new algorithm improves the drawback of the Welshs algorithm, and the color of the result image is more natural and delicate.
color transfer neighborhood correlation optimization color information
Meiyu Wang Zhaojiong Chen
College of Mathematics & Computer Science Fuzhou University Fuzhou, China
国际会议
杭州
英文
411-414
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）