摘要
为了解决视频图像在传输过程中产生运动矢量丢失问题,本文提出一种新的后处理差错掩盖算法。我们在DCT域进行边缘检测,把与丢失块相邻的图像块分为边缘块和平滑块,同时把丢失块周围的图像块运动矢量的大小和方向分成九类。结合边缘检测与运动矢量分类,我们提出一种加权运动矢量恢复算法。仿真结果表明对不同视频序列,此算法都能比传统的方法恢复出质量更高的图像。
A new error concealment algorithm is proposed as a post-processing tool at the decoder side for recovering the lost motion vectors during video transmissions. The neighboring missing blocks are classified into uniform blocks and edge blocks by using the edge information extracted from DCT domain. The motion vectors of the neighboring blocks are sorted into 9 classes according to the direction and magnitude information. Error conceahnent based on weighte Simulation results d motion vectors according to the edge information and motion vector classified is proposed. show that the proposed method can recover the higher quality image in different video sequences comparing to that of existing traditional concealment algorithms.
出处
《深圳信息职业技术学院学报》
2008年第2期48-51,共4页
Journal of Shenzhen Institute of Information Technology
基金
深圳市科技计划项目(szkj0604)
校博士创新基金(BC-0720)
关键词
差错掩盖
加权运动矢量
边缘检测
error concealment : weighted motion vector: edge detection