Name
Abstract | ||
|---|---|---|
De-interlacing algorithms are required to convert interlaced video into progressive scan format. They perform an interpolation technique which doubles the vertical sampling density. This paper presents a de-interlacing algorithm which employs fuzzy logic to adapt the interpolation strategy to the presence of motion and edges. Extensive simulations of video sequences prove the advantages of this novel approach. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.fss.2006.10.014 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
vertical sampling density,de-interlacing,de-interlacing algorithm,motion adaptive,fuzzy logic,novel approach,fuzzy edge-dependent motion adaptive,interpolation strategy,fuzzy system,interpolation technique,extensive simulation,edge-dependent,interlaced video,video sequence | Interlacing,Fuzzy logic,Interpolation,Algorithm,Fuzzy set,Fuzzy control system,Adaptive algorithm,Progressive scan,Mathematics,Interlaced video | Journal |
Volume | Issue | ISSN |
158 | 3 | Fuzzy Sets and Systems |
Citations | PageRank | References |
8 | 0.65 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Brox | 1 | 11 | 1.73 |
| I. Baturone | 2 | 9 | 1.01 |
| S. Sánchez-Solano | 3 | 79 | 9.82 |
| J. Gutiérrez-Ríos | 4 | 10 | 1.70 |
| F. Fernández-Hernández | 5 | 10 | 1.70 |