Abstract
We consider the problem of enhancing the
resolution of video through the addition of
perceptually plausible high frequency information.
Our approach is based on a learned
data set of image patches capturing the relationship
between the middle and high spatial
frequency bands of natural images. By
introducing an appropriate prior distribution
over such patches we can ensure consistency
of static image regions across successive
frames of the video, and also take
account of object motion. A key concept
is the use of the previously enhanced
frame to provide part of the training set for
super-resolution enhancement of the current
frame. Our results show that a marked improvement
in video quality can be achieved
at reasonable computational cost.
| Original language | English |
|---|---|
| Title of host publication | Proceedings Ninth International Conference on Artificial Intelligence and Statistics 2003 |
| Number of pages | 8 |
| Publication status | Published - 2003 |