论文标题
部分可观测时空混沌系统的无模型预测
Triple Motion Estimation and Frame Interpolation based on Adaptive Threshold for Frame Rate Up-Conversion
论文作者
论文摘要
在本文中，我们提出了一种新型的运动补偿帧速率上转换（MC-FRUC）算法。所提出的算法通过使用单侧（向前和向后）和双侧运动估计的首次估算运动向量来创建插值框架。然后，基于自适应阈值将运动向量组合在一起，以创建高质量的插值框架并减少块伪影。由于沿单侧运动轨迹的运动补偿框架插值会产生孔，因此引入了一种新算法来解决此问题。实验结果表明，使用所提出的算法插值框架的质量远高于现有算法。
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.
