Abstract
In this paper, a novel motion compensated frame rate up-conversion
(MC-FRUC) algorithm is proposed to enhance the visual quality of video sequences.
First of all, the multi-channel mixed pattern (MCMP) is proposed to design
a block matching criterion which uses a few computations to reveal the variances
of one luminance channel and two chrominance channels in a video frame. Second,
in basis of the forward and backward initial motion vector fields (MVFs) estimated
by a variant of 3DRS algorithm, the spatio-temporal motion vector refinement
(ST-MVR) algorithm is proposed to obtain the more smoother MVF by implicitly
adding the spatio-temporal smooth constraint into the process of motion vector
refinement, and then the highly fault-tolerant motion vector smoothing (HFT-MVS)
algorithm is proposed to prevent the emergence of outliers in MVF. Finally,
in order to reduce the edge blurring and occlusions, the proposed dual-weighted
overlapped block motion compensation (DW-OBMC) algorithm uses the forward
and backward MVFs to jointly produce the interpolated frame. Experimental
results show that the proposed algorithm can significantly improve both objective
and subjective quality of the interpolated frame with a low computational
complexity, and provide the better performance than the existing algorithms.
© 2014 IEEE
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