摘要
为了对视频传输中丢失的信息进行恢复,提高重建视频的质量,提出了一种基于H.264的时空域联合误码掩盖方法。该算法将丢失宏块分成16个4×4子块,通过分析子块的空间特性来确定其恢复的优先权,并依次恢复其运动矢量。仿真结果表明,对于不同运动程度序列和不同宏块丢失率,该算法性能均稳定地优于H.264标准的算法。特别是在20%的宏块丢失率下,恢复视频峰值信噪比(PSNR)相对H.264标准算法可提高1~2dB。
Video communications receivers conceal error to mask damaged images to improve the quality of reconstruction video. This paper presents a spatio-temporal error concealing algorithm based on H. 264. The algorithm divides a macro-block into sixteen sub-blocks, then analyzes the spatial features of each sub-block to determine its priority. The motion vectors in the sub-blocks are recovered in order depending on their priorities. The recovered motion vector is then used to get the sub-block in the reference frame. Test results show that the peak signal-to-noise ratio (PSNR) is improved by 1-2 dB over the traditional H. 264 algorithm when the macro-block lost rate per frame is 20%.
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2007年第10期1602-1605,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家自然科学基金资助项目(60572081)
关键词
视频通信
H.264
误码掩盖
时空域
video communication
H. 264
error concealing
spatio-temporal