
doi: 10.5594/m001237 , 10.5594/j17643
This paper describes a new high quality de-interlacing algorithm applying motion estimation and compensation techniques. First, a comparison between two recently introduced de-interlacing concepts will be presented. One method is based on a generalized sampling theorem and the other uses time-recursion. The new algorithm aims at combining the benefits of both.
motion estimation, de-interlacing, motion compensation, generalized sampling theorem, sequential scan conversion
motion estimation, de-interlacing, motion compensation, generalized sampling theorem, sequential scan conversion
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
