Abstract
A newly developed algorithm for deinterlacing is presented. It interpolates the missing pixels using a weighted combination of spatial and temporal methods. The algorithm is self-adaptive since it weights various processing blocks based on the error they introduce. It is embedded; it vertically interpolates first, followed by temporal interpolation. The result is used to orientationally interpolate the field which in turn is used to perform motion compensated interpolation. Motion compensation is performed bidirectionally to allow for better performance in case of scene changes, or covered objects. Experiments were run on both real world and computer generated video sequences and results were compared to the original.
| Original language | English (US) |
|---|---|
| Number of pages | 1 |
| Journal | Data Compression Conference Proceedings |
| State | Published - 1995 |
| Event | Proceedings of the 5th Data Compression Conference - Snowbird, UT, USA Duration: Mar 28 1995 → Mar 30 1995 |
ASJC Scopus subject areas
- Computer Networks and Communications