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Abstract:
High-refresh-rate displays (e.\,g.,~120\,Hz) have recently become available on
the consumer market and quickly gain on popularity.
One of their aims is to reduce the perceived blur created by moving objects
that are tracked by the human eye.
However, an improvement is only achieved if the video stream is produced at the
same high refresh rate (i.\,e.~120\,Hz).
Some devices, such as LCD~TVs, solve this problem by converting
low-refresh-rate content (i.\,e.~50\,Hz~PAL) into a higher temporal resolution
(i.\,e.~200\,Hz) based on two-dimensional optical flow.
In our approach, we will show how rendered three-dimensional images produced by
recent graphics hardware can be up-sampled more efficiently resulting in higher
quality at the same time.
Our algorithm relies on several perceptual findings and preserves the
naturalness of the original sequence.
A psychophysical study validates our approach and illustrates that temporally
up-sampled video streams are preferred over the standard low-rate input by the
majority of users.
We show that our solution improves task performance on high-refresh-rate
displays.
