Name
Abstract | ||
|---|---|---|
In this study, the authors propose a restoration algorithm for blurred and noisy continuous image sequences. The proposed approach treats an image sequence as a space-time volume and employs a spatio-temporal mean curvature regularisation which is a novel regularisation proposed in the study to enhance the smoothness of the solution. An augmented Lagrangian method with splitting techniques is used... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-ipr.2015.0246 | IET Image Processing |
Keywords | Field | DocType |
image denoising,image restoration,image sequences,iterative methods | Noise reduction,Computer vision,Curvature,Pattern recognition,Feature detection (computer vision),Deblurring,Non-local means,Mean curvature,Augmented Lagrangian method,Artificial intelligence,Image restoration,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 5 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuquan Ren | 1 | 15 | 1.97 |
| Tianshuang Qiu | 2 | 313 | 43.84 |