面向运动估计器硬件实现的加权块匹配检测算法

A Weighted Block-matching Criterion for the Hardware Implementation of Motion Estimators

在各种视频处理算法中 ,运动补偿型算法大大提高了各种视频处理效果。运动估计器的硬件实现是各种运动补偿视频处理算法在实际系统中运用的关键。由于块匹配运动估计算法较低的运算复杂度和硬件实现难度以及块匹配检测标准函数很高的调用频率 ,已经广泛应用到各种实际系统中。文中提出了加权最小最大误差的匹配检测标准 ,能够降低运动估计器的运算复杂度 ,减少估计器的硬件面积 ,提高硬件速度 ,而且能够降低递归搜索块匹配运动估计算法固有误差传递带来的负面影响。

In all kinds of digital video processing algorithms, motion compensated algorithm can acquire perfect performance because the motion information in the video signal has been considered. The hardware implementation of the motion estimator is the core of the various motion compensated digital video processings, which will be applied in real systems. Block matching motion estimating algorithm is widely used in real system because of its low computing complication, easy realization and high call frequency of the block matching criterion in the hardware systems. A new criterion called weighted minimized maximum error is proposed in this paper. This criterion can reduce the complexity of the motion estimator, decrease the area of the hardware and increase the speed of the hardware. On the other hand, the criterion is suitable to be applied to the recursive searching strategy which has an inherent weakness called error propagation. [