基于矢量加权中值滤波的快速分层运动估计算法

针对分层运动估计的特点,提出了一种简单有效的快速算法.该算法在底层通过对当前块的空间相邻块的运动矢量进行矢量加权中值滤波来产生一个候选矢量,该候选矢量能够更准确地预测运动,并对上层运动估算中出错的矢量提供保护,减少了错误传播.在顶层进行匹配误差计算时采用修正累计绝对误差(SAD)准则,平滑了矢量场,并进一步提高了运动估计的准确性.仿真实验表明,此算法用很少的运算量获得了较好的性能.

Fast hierarchical motion estimation algorithm based on vector-weighted median filtering

An effective fast algorithm was proposed after analysis of the characteristics of hierarchical motion estimation. A candidate motion vector was generated through vector-weighted median filtering of the motion vectors of neighborhood-blocks. This candidate motion vector can predict motion more accurately and alleviate the error propagation when the motion estimation from the upper level is wrong. A modified summed absolute difference (SAD) criterion was used for motion estimation of the top level, which could smooth the motion vector field and resulted in an improvement of estimation accuracy. Simulation results show that the proposed algorithm requires less computational complexity while achieving good performance.