Name
Abstract | ||
|---|---|---|
Moiré artifacts are generally caused by the interference between the overlap of the sensor's sampling grid and high-frequency (nearly) periodic textures, and heavily affect the image quality. However, it is difficult to effectively remove moiré artifacts from textured images as the structure of moiré patterns is similar to that of textures in some sense. In this paper, we propose a novel textured ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIP.2017.2698920 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Image color analysis,Signal resolution,Digital cameras,Frequency-domain analysis,Color,Image restoration,Rain | Moiré pattern,Computer vision,Pattern recognition,Sparse approximation,Matrix decomposition,Image quality,Filter (signal processing),Artificial intelligence,Image restoration,Real image,Sparse matrix,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 7 | 1057-7149 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingyu Yang | 1 | 274 | 31.04 |
| Fanglei Liu | 2 | 0 | 0.34 |
| Huanjing Yue | 3 | 24 | 6.89 |
| Xiaomei Fu | 4 | 22 | 7.12 |
| Chunping Hou | 5 | 85 | 14.69 |
| Feng Wu | 6 | 3635 | 295.09 |