摘要
为了消除空域错误隐藏后出现的模糊和块效应,提出了基于SUSAN检测算子的空域自适应错误隐藏算法。算法首先利用SUSAN算子检测丢失宏块周围的边缘点,然后根据边缘点确定丢失宏块中边缘,最后根据边缘情况自适应地选择插值方法恢复丢失宏块。实验表明,丢失宏块边缘的检测受噪声影响很小,对孤立丢失块有较好的恢复效果且计算量较小。与传统空域错误隐藏算法相比,本文算法的峰值信噪比PSNR能提高大约1~3dB。
Error concealment is used in video communication for compensating the influence of error on image quality. To elminate the mistiness and blocking artifacts in error concealment, a spatial error concealment method based on the SUSAN operator is put forward. The points on the edges of lost blocks are detected by the SUSAN operator. Then the method of interpolation is adaptively selected according to detected edges for recovering the lost blocks. Experiments showed that noise has little effect on the edge detection, and it can recover the isolated block effectively with moderate calculation cost. Compared with traditional spatial interpolation method, the PSNR is increased by 1 -3 dB.
出处
《电光与控制》
北大核心
2010年第1期89-92,共4页
Electronics Optics & Control
关键词
视频通信
错误隐藏
SUSAN算子
边缘检测
空域插值
video communication
error concealment
SUSAN operator
edge detection
spatial interpolation