摘要
针对现有I帧错误隐藏方法不能平衡恢复图像质量与算法复杂度的问题,提出了一种高效的I帧分区错误隐藏方法。首先,利用视频帧之间的运动相关性将丢失宏块分为运动宏块和静止宏块。对于静止宏块,采用帧拷贝法进行掩盖;对于运动宏块,再根据其周围正确解码宏块的纹理信息将其分为平滑块和纹理块。对平滑块采用双线性插值法进行恢复;对纹理块利用比较精细的指数分布权重的加权模板匹配(WTE)法进行掩盖。实验结果表明,与WTE算法相比,所提方法的峰值信噪比(PSNR)平均提高了2.6 d B,计算复杂度平均降低了90%。对于场景连续的具有不同特征和分辨率的视频序列,所提方法都具有一定的适用性。
The existing error concealment algorithms for I frame are difficult to balance the recovery image quality and the algorithm complexity. To solve the problem, an efficient intra-fame partitioning error concealment method was proposed.Firstly, according to the motion correlation between video frames, the lost macro blocks were divided into motion blocks and static blocks. For static blocks, frame copy error concealment method was used to conceal lost blocks. For motion blocks, they were divided into smooth blocks and texture blocks by the texture information of the correctly decoded macro blocks. Then, the bilinear interpolation method was adopted to restore the smooth blocks and more delicate Weighted Template matching with Exponentially distributed weights( WTE) method was used to conceal texture blocks. The experimental results show that,compared with the WTE method, the proposed method has improved the Peak Signal-to-Noise Ratio( PSNR) by the average of2. 6 dB and decreased the computation complexity averagely by 90%. As for video sequences with different features and resolutions in continuous scene, the proposed method achieves certain applicability.
出处
《计算机应用》
CSCD
北大核心
2015年第12期3442-3446,共5页
journal of Computer Applications
基金
国家科技支撑计划项目(2012BAH67F01)
国家自然科学基金资助项目(U1301257)
宁波市科技创新团队研究计划项目(2011B81002)
关键词
空域错误隐藏
运动相关性
丢失宏块分类
加权模板匹配
双线性插值
spatial error concealment
motion correlation
lost macro block classification
weighted template matching
bilinear interpolation