Name
Abstract | ||
|---|---|---|
Image super-resolution (SR) for a single low-resolution image is an important and challenging task in image processing. In this study, the authors propose a novel non-local feature back-projection method for image SR, which can effectively reduce jaggy and ringing artefacts common, in general, iterative back-projection (IBP) method. In their method, the objective high-resolution (HR) image is obta... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-ipr.2015.0467 | IET Image Processing |
Keywords | Field | DocType |
image reconstruction,image resolution,interpolation,iterative methods | Computer vision,Feature detection (computer vision),Pattern recognition,Feature (computer vision),Ringing,Interpolation,Image processing,Artificial intelligence,Back projection,Image restoration,Superresolution,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 5 | 1751-9659 |
Citations | PageRank | References |
2 | 0.36 | 25 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Zhang | 1 | 11 | 2.18 |
| Qian Liu | 2 | 17 | 1.58 |
| Xuemei Li | 3 | 18 | 2.48 |
| Yuanfeng Zhou | 4 | 64 | 21.47 |
| Caiming Zhang | 5 | 446 | 88.19 |