Abstract
In this paper, an occlusion handling algorithm
is presented for motion-compensated frame interpolation (MCFI). The
proposed algorithm first estimates the unidirectional motion vector
fields (MVFs) between two reference frames in both forward and backward
directions. Then, a multiframe-based occlusion detection method is
presented to identify the uncovered, covered, and motion ambiguity
regions within the intermediate frame plane. Based on the detection
results, bidirectional motion vectors of the intermediate frame are
assigned accurately from unidirectional MVFs. For bidirectional motion
compensation, the conventional overlapped block motion compensation
(OMBC) method is improved by adjusting the support weight of each
pixel within the overlapped window to suppress the blurring and ghost
artifacts. Experimental results show that the proposed method not
only provides interpolation results with better subjective visual
quality, but can also improve the average peak signal-to-noise ratio
of the interpolated frames by up to 1.788 dB, when compared to benchmark
algorithms.
© 2015 IEEE
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