摘要
提出基于边界纹理一致性的视频帧内模板匹配预测算法,根据图像内容纹理的一致性,在绝对差和(或均方差)的基础上,引入边界纹理一致性约束,形成新的模板匹配准则,以增强模板匹配预测与当前块周围像素之间的相关性,提高模板匹配预测的准确性。实验结果证明,该算法相对于帧内模板匹配预测算法,编码效率平均提升0.11 dB,最高能提升0.17 dB。
This paper proposes an intra-frame template matching prediction algorithm with boundary texture consistency. Boundary texture o consistency constraint is formulated and added to the determination criteria of intra template matching with the purpose of improving the correlation between the generated prediction and current block＇s neighborhood. Experimental results show that the enhanced template matching prediction based on boundary texture consistency outperforms intra-frame template matching prediction by an average of 0.11 dB and maximum of 0.17 dB. The new intra-frame coding algorithm can improve the coding efficiency of intra-frame template matching prediction and have good potentials in next generation video coding standard formulation.
出处
《计算机工程》
CAS
CSCD
2012年第6期227-229,共3页
Computer Engineering
基金
国家"973"计划基金资助项目(2009CB320906)
国家自然科学基金资助项目(60970160
61070080
61003184)
国家科技重大专项基金资助项目(2010ZX03004-003-03)
关键词
视频编码
帧内预测
纹理一致性
模板匹配预测
绝对差和
video coding
intra-frame prediction
texture consistency
template matching prediction
sum of absolute difference
