Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
536616 | Pattern Recognition Letters | 2009 | 8 Pages |
Abstract
A novel method is proposed to transfer selective colors from a set of source images to a target image. An improved EM method is presented to model regional color distribution of the target image by Gaussian Mixture Model (GMM), then, trained by this model, appropriate reference colors are automatically selected from the given source images to color each target region. The generated compelling results prove that our proposed method is applicable to colorize grayscale images and color transfer between chromatic images. A new objective metric considering colorfulness and structural similarity is also proposed to evaluate the quality of the transferred image, which verifies good performance of our method.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Yao Xiang, Beiji Zou, Hong Li,