摘要
高效的视频压缩会使其码流对误码变得敏感,导致重构图像质量的下降。解码端的误码掩盖技术可以在不增加信道负担的前提下通过寻找相关数据提高恢复图像的质量。本文提出了一种基于相邻宏块间相关性的空域误码掩盖算法,它是利用错误宏块邻近多个宏块的信息求其相互间的相关系数,进而掩盖错误宏块。使用该算法对标准序列第一个I帧图像进行错误掩盖,并与宏块的空域内插和加权内插法的掩盖结果进行比较,结果表明其效果明显优于其他两种算法。
Video bitstream of high compression rate is sensitive to channel errors, which may degrade the reconstructed pictures severely. Error concealment methods, implemented on the decoding side, can reduce the impact of error without increasing the burden on the channel. In this paper, based on correlation, a spatial algorithm for error concealment is proposed by using the information of adjacent macroblocks in the same frame. For the first Intra frame of the test sequence, the spatial algorithm is used to reconstruct the corrupted regions. Comparing with the spatial interpolation algorithm and the weighted interpolation algorithm, the experimental results reveal that the performance of the proposed algorithm surpasses that of traditional methods.
出处
《计算机仿真》
CSCD
北大核心
2009年第11期243-246,共4页
Computer Simulation
关键词
相关系数
空域
误码掩盖
图像处理
Correlation coefficient
Spatial domain
Error concealment
Image processing
