Title
Example-Based Multiple Local Color Transfer By Strokes
Abstract
This paper investigates a new approach for color transfer. Rather than transferring color from one image to another globally, we propose a system with a stroke-based user interface to provide a direct indication mechanism. We further present a multiple local color transfer method. Through our system the user can easily enhance a defect (source) photo by referring to some other good quality (target) images by simply drawing some strokes. Then, the system will perform the multiple local color transfer automatically. The system consists of two major steps. First, the user draws some strokes on the source and target images to indicate corresponding regions and also the regions he or she wants to preserve. The regions to be preserved which will be masked out based on an improved graph cuts algorithm. Second, a multiple local color transfer method is presented to transfer the color from the target image(s) to the source image through gradient-guided pixel-wise color transfer functions. Finally, the defect (source) image can be enhanced seamlessly by multiple local color transfer based on some good quality (target) examples through an interactive and intuitive stroke-based user interface.
Year
DOI
Venue
2008
10.1111/j.1467-8659.2008.01321.x
COMPUTER GRAPHICS FORUM
Field
DocType
Volume
Cut,Computer vision,Computer graphics (images),Local color,Computer science,Color depth,Transfer function,Artificial intelligence,User interface,Color normalization,Color quantization
Journal
27
Issue
ISSN
Citations 
7
0167-7055
25
PageRank 
References 
Authors
0.95
16
4
Name
Order
Citations
PageRank
Chung-lin Wen1251.63
Chang-hsi Hsieh2250.95
Bing-Yu Chen31132101.82
Ming Ouhyoung41609266.64