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Issue No.02 - March/April (2008 vol.28)
pp: 52-61
Chuan-Kai Yang , National Taiwan University of Science and Technology
Li-Kai Peng , National Taiwan University of Science and Technology
Reinhard and colleagues' ground-breaking work of color transfer between images provides a successful means for mood transferring between color images. However, two issues remain relatively unexplored. First, the approach leaves the choice of an appropriate reference image to users. Second, it's often difficult to evaluate a color transfer's effectiveness, especially when the input and reference images have significantly different content. A new approach, described here, tackles both issues. First, it provides a more intuitive interface, where users can convert the style of an input image with simply a mouse click, without having to find and provide their own reference image. Second, the system offers a more refined mechanism for converting the input image's color using a histogram matching approach that preserves spatial coherence.
color-style conversion, color segmentation, spatial coherence, histogram matching
Chuan-Kai Yang, Li-Kai Peng, "Automatic Mood-Transferring between Color Images", IEEE Computer Graphics and Applications, vol.28, no. 2, pp. 52-61, March/April 2008, doi:10.1109/MCG.2008.24
1. E. Reinhard et al., "Color Transfer between Images," IEEE Computer Graphics and Applications, vol. 21, no. 5, 2001, pp. 34–41.
2. B.M. Whelan, Color Harmony 2, Rockport Publishers, 1994.
3. J. Morovic, J. Shaw, and P. Sun, "A Fast, Non-Iterative and Exact Histogram Matching Algorithm," Pattern Recognition Letters, vol. 23, nos. 1–3, 2002, pp. 127–135.
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