Temporal super resolution (TSR) is the ability to convert video from one
frame rate to another and is as such a key functionality in modern video processing
systems. A higher frame rate than what is recorded is desired for high frame
rate displays, for super slow-motion, and for video/film format conversion (where
also lower frame rates than recorded is sometimes required).We discuss and detail
the requirements imposed by the human visual system (HVS) on TSR algorithms,
of which the need for (apparent) fluid motion, also known as the phi-effect, is the
principal one. This problem is typically observed when watching video on large and
bright displays where the motion of high contrast edges often seem jerky and unnatural.
A novel motion compensated (MC) TSR algorithm using variational methods
for both optic flow calculation and the actual new frame interpolation is presented.
The flow and intensities are calculated simultaneously in a multiresolution setting.
A frame doubling version of our algorithmis implemented and in testing it, we focus
on making the motion of high contrast edges to seem smooth and thus reestablish
the illusion of motion pictures.