Name
Abstract | ||
|---|---|---|
In this paper we propose a unified variational image editing model. It interprets image editing as a variational problem concerning
the adaptive adjustments to the zero- and first-derivatives of the images which correspond to the color and gradient items.
By varying the definition domain of each of the two items as well as applying diverse operators, the new model is capable
of tackling a variety of image editing tasks. It achieves visually better seamless image cloning effects than existing approaches.
It also induces a new and efficient solution to adjusting the color of an image interactively and locally. Other image editing
tasks such as stylized processing, local illumination enhancement and image sharpening, can be accomplished within the unified
variational framework. Experimental results verify the high flexibility and efficiency of the proposed model. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s11390-006-0224-4 | J. Comput. Sci. Technol. |
Keywords | Field | DocType |
image cloning,image color repairing,image editing,image sharpening,stylized processing | Computer vision,Automatic image annotation,Image warping,Feature detection (computer vision),Computer science,Image texture,Binary image,Image editing,Image processing,Artificial intelligence,Digital image processing | Journal |
Volume | Issue | ISSN |
21 | 2 | 1860-4749 |
Citations | PageRank | References |
7 | 0.60 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yun Zeng | 1 | 9 | 1.30 |
| Wei Chen | 2 | 1193 | 92.00 |
| Qun-Sheng Peng | 3 | 88 | 7.57 |