Name
Abstract | ||
|---|---|---|
In this paper, a low-complexity intra-field restoring method for interlaced image is presented. We employ an edge detector to recognize the edge direction of each processing position, and observing the pixel correlation and edge information. To reduce the computational complexity, we use intra-field de-interlacing method. Extensive experimental results demonstrate that our design achieved excellent performance in quantitative evaluation and visual quality than other image restoring techniques. The proposed algorithm has a simple computation structure. Therefore, it is suitable for real-time hardware implementation. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3177404.3177442 | PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON VIDEO AND IMAGE PROCESSING (ICVIP 2017) |
Keywords | Field | DocType |
de-interlacing, spatial interpolation, image restoration | Computer vision,Multivariate interpolation,Computer science,Edge detector,Pixel,Artificial intelligence,Image restoration,Computation,Computational complexity theory | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fu-Jhong Yang | 1 | 3 | 1.55 |
| Pei-Yin Chen | 2 | 314 | 38.47 |
| Chih-Yuan Lien | 3 | 91 | 9.64 |
| Ching-Chieh Chen | 4 | 0 | 0.34 |