摘要
压缩视频对于信道误码十分敏感,可导致重组视频的质量严重下降。在低码率的情况下,当网络传输中数据包丢失时,通常对应于一整帧图像内容的丢失。为了恢复丢失帧,提出了一种针对整帧图像丢失时的基于运动向量外推法的空时域相结合的差错掩盖算法。试验结果表明,该算法不仅能够恢复整个丢失帧,而且在主观上与客观上其掩盖效果均优于传统的掩盖算法。
Compressed video is quite sensitive to channel errors, and may lead to serious degradation of the reconstructed pictures. In low bit rate applications, the packet loss directly results in the lost of the whole frame. In order to reconstruct the loss frames, a spatio-temporal error concealment algorithm based on motion vector extrapolation is proposed. The experimental results show that the proposed algorithm obviously outperforms the traditional methods both in PSNR and visual quality.
出处
《通信技术》
2010年第1期45-47,共3页
Communications Technology
关键词
差错掩盖
运动向量外推法
边界匹配算法
整帧丢失
error concealment
motion vector extrapolation （MVE）
boundary matching algorithm（BMA）
entireframe loss
