Name
Abstract | ||
|---|---|---|
In this letter, a novel image restoring technique for interlaced video is presented. We employ a motion-degree detector to determine the type of motion in the adjacent pictures efficiently and a hybrid interpolation based on spatial and/or temporal information to restore the missing pixels for each motion type. Extensive experimental results demonstrate that our method can obtain better performances in terms of both quantitative evaluation and visual quality than the state-of-the-art image restoring techniques. Since the proposed method requires low computational complexity, it is very suitable for real-time hardware implementation and can be applied to current television systems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/LSP.2008.2011715 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
video signal processing,interpolation,motion-degree detector,hybrid image restoring algorithm,image restoration,computational complexity,interlaced video,image de-interlacing,image motion analysis,detectors,psnr,tv,image quality,motion estimation,real time,hardware,pixel,correlation | Computer vision,Pattern recognition,Motion detection,Computer science,Interpolation,Image quality,Hybrid image,Artificial intelligence,Pixel,Motion estimation,Image restoration,Interlaced video | Journal |
Volume | Issue | ISSN |
16 | 3 | 1070-9908 |
Citations | PageRank | References |
2 | 0.50 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-Yuan Lien | 1 | 91 | 9.64 |
| Chung-Ping Young | 2 | 105 | 17.78 |
| Pei-Yin Chen | 3 | 314 | 38.47 |