Abstract
Color transfer is a simple process to change a color tone in one image (source) to look like another image (target). In transferring colors between images, there are several issues needed to be considered including partial color transfer, trial-And-error, and multiple target color transfer. Our approach enables users to transfer colors partially and locally by letting users select their regions of interest from image segmentation. Since there are many ways that we can transfer colors from a set of target regions to a set of source regions, we introduce the region exploration and navigation approach where users can choose their preferred color tones to transfer one region at a time and gradually customize towards their desired results. The preferred color tones sometimes can come from more than one image; therefore our method is extended to allow users to select their preferred color tones from multiple images. Our experimental results have shown the flexibility of our approach to generate reasonable segmented regions of interest and to enable users to explore the possible results more conveniently.
| Original language | English |
|---|---|
| Pages (from-to) | 1962-1970 |
| Number of pages | 9 |
| Journal | IEICE Transactions on Information and Systems |
| Volume | E100D |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - Sept 2017 |
Keywords
- Color Transfer
- Gaussian Mixture Models
- Image Exploration
- Image Segmentation
- Probabilistic Segmentation
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