【摘要】 提出了一种基于边界匹配的增强多权重差错掩盖算法,通过受损宏块周围时空域相邻宏块的相关信息在增强候选运动矢量集中进行运动矢量选取,采用多权重的边界匹配方法使之在物体边界处能够获得更准确的运动矢量,并专门对连续图像片丢失或整帧丢失的情况进行时域掩盖处理。基于H.26L的仿真实验表明,该方法可有效地抑制视频差错的扩散,取得较好的差错掩盖效果。更多还原

【Abstract】 The bitstream of compressed video is often corrupted by channel errors of losing packet in Internet. To Solve this problem, an enhanced multi-weighted boundary matching algorithm(EMWBMA) is proposed. This algorithm can make full use of information of neighbor macroblocks(MB) to estimate the motion vectors of damaged MB. Multi-weighted boundary matching method is adopted. The disadvantages of BMA, such as incorrect MB displacement at object border, poor performance when current entire frame or plenty of consecutive slice have lost, is overcame. The simulation result shows that the proposed algorithm can efficiently improve performance of error concealment.更多还原