| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 391169 | Fuzzy Sets and Systems | 2007 | 11 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
