基于平面拟合恢复运动矢量的错误隐藏算法

针对压缩视频码流在无线信道传输过程中由于运动矢量失配导致重构图像质量的问题，提出了一种基于平面拟合恢复运动矢量的错误隐藏算法。首先，根据H.264视频标准具有多参考帧且相邻宏块间的相关性的特点，通过把与受损宏块直接相邻的每个分块的运动矢量定义为一个点，采用平面拟合方法表征小范围内相邻运动矢量的变化趋势，对受损宏块运动矢量进行重建，然后利用改进的边界匹配函数，选取最优运动矢量对受损图像进行恢复。实验结果表明，该算法不仅避免了AIC算法产生的块效应，而且在不同的RTP丢包概率下，该算法比AIC算法得到的峰值信噪比有0.3~2.5 dB的提升。

Motion vector recovery for video error concealment based on plane fitting

In a wireless transmission, the compressed video stream can result in lower quality of image reconstruction with the motion vector mismatch. A motion vector recovery for video error concealment based on the plane fitting algorithm is proposed. According to the characteristics of the correlation between the adjacent macro blocks and the multi reference frame of the H.264 video standard, the motion vector of each divided block surrounding the lost macro-block is projected to one point for one plane presenting the MV changing tendency in small regions. This algorithm reconstructs the motion vector of the damaged macro-block by the fitting plane algorithm based on the improved boundary matching algorithm, and then the optimal motion vector is selected to reconstruct the damaged images. This algorithm not only avoids the block effects that caused by the original algorithm, but also in different probability of RTP packet losing, the peak signal to noise ratio of the algorithm has improved 0.3~2.5 dB compared to the adaptive intra-frame error concealment algorithm.