论文部分内容阅读
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 very sensitive to channel error and can result in a serious degradation of the quality of the reconstructed video. In the case of low bit rate, when a packet is lost in network transmission, it generally corresponds to the loss of a full frame of image content. In order to recover lost frames, an error concealment algorithm based on space-time domain combined with motion vector extrapolation for full frame loss is proposed. Experimental results show that this algorithm can not only recover the entire lost frame, but also cover the subjective and objective masking effects better than the traditional masking algorithm.