Abstract
Motion compensated frame interpolation (MCFI) is a technique used extensively
to enhance the visual quality of low frame rate videos. It requires true motion
vectors (MVs) to ensure the high quality of the interpolated image. However,
many current motion estimation techniques are block-based, which cannot always
provide reliable MVs. In this paper, a novel motion vector processing method
is presented to obtain the reliable MVs for MCFI. By introducing the interpolated
artifact information of each MV as a new reliability metric, the proposed
method first classify the input motion vector field (MVF) into reliable and
possibly unreliable groups. A correlation-based MV reliability determination
method is then used to identify the unreliable MVs from the possibly unreliable
group with the reference of the reliable MVs. In the motion correction stage,
these unreliable MVs are corrected properly with an region classification
method. By using the updated MVF as new input, the above processes are performed
iteratively until no new MV reliability changes. Finally, an occlusion handling
process is performed to solve the unreliable MVs within the occluded areas
and remove the small motion inconsistencies. Experimental results demonstrate
the superior performance of the proposed method. Compared with existing benchmark
algorithms, the frames interpolated by the proposed method provide better
image quality both subjectively and objectively.
© 2014 IEEE
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