Abstract
In this paper, we propose a new motion estimation algorithm to be used
for motion-compensated frame rate up-conversion. The proposed algorithm independently
carries out motion estimations in both forward and backward directions, and
selects a more reliable one between forward and backward motion vectors by
evaluating the motion vector reliability from the viewpoint of the interpolated
frame. The proposed algorithm smooths and refines both the forward and backward
motion vectors before selecting the reliable one. This procedure helps to
select the reasonable motion estimation direction. In identifying the motion
vector outliers, the proposed algorithm uses a circular range of which center
is located at the mean of the eight neighboring motion vectors of the motion
vector being processed. Experimental results using 1720 test images show that
the proposed motion estimation algorithm improves the average peak signal-to-noise
ratio and the average structural similarity of the interpolated frames by
up to 5.31 dB and 0.053, respectively, compared to conventional motion estimation
algorithms.
© 2013 IEEE
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