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arxiv: 2203.03621 · v1 · pith:MUCBVPEG · submitted 2022-03-05 · eess.IV · cs.AI· cs.CV· cs.MM

Triple Motion Estimation and Frame Interpolation based on Adaptive Threshold for Frame Rate Up-Conversion

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classification eess.IV cs.AIcs.CVcs.MM
keywords motionalgorithmframeframesinterpolatedadaptivecreatesestimation
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In this paper, we propose a novel motion-compensated frame rate up-conversion (MC-FRUC) algorithm. The proposed algorithm creates interpolated frames by first estimating motion vectors using unilateral (jointing forward and backward) and bilateral motion estimation. Then motion vectors are combined based on adaptive threshold, in order to creates high-quality interpolated frames and reduce block artifacts. Since motion-compensated frame interpolation along unilateral motion trajectories yields holes, a new algorithm is introduced to resolve this problem. The experimental results show that the quality of the interpolated frames using the proposed algorithm is much higher than the existing algorithms.

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