Name
Abstract | ||
|---|---|---|
In this paper, we propose a pixel-based method for texture synthesis with non-parametric sampling. On top of the general framework of pixel-based approaches, our method has three distinguishing features: window size estimation, seed point planting, and iterative refinement. The size of a window is estimated to capture the structural components of the dominant scale embedded in the texture sample. To guide the pixel sampling process at the initial iteration, a grid of seed points are sampled from the example texture. Finally, an iterative refinement scheme is adopted to diffuse the non-stationarity artifact over the entire texture. Our objective is to enhance texture quality as much as possible with a minor sacrifice in efficiency in order to support our conjecture that the pixel-based approach would yield high quality images. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.cag.2006.07.023 | Computers & Graphics |
Keywords | DocType | Volume |
Texture synthesis,Image processing,Non-parametric sampling | Journal | 30 |
Issue | ISSN | Citations |
5 | 0097-8493 | 3 |
PageRank | References | Authors |
0.47 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seunghyup Shin | 1 | 6 | 1.65 |
| Tomoyuki Nishita | 2 | 2062 | 306.43 |
| Sung Yong Shin | 3 | 1904 | 168.33 |