AVS-M亚像素运动估计快速算法  

Fast algorithm of sub-pixel motion estimation for AVS-M

作　　者：张新安[1] 宫彦军[1] 陈爱武[1] 

机构地区：[1]湖南科技学院电子工程系,永州425100

出　　处：《中国图象图形学报》2011年第6期927-932,共6页Journal of Image and Graphics

基　　金：湖南省科技厅科技发展计划资助项目(2009FJ4062);湖南省教育厅高等学校科学研究资助项目(08C364)

摘　　要：针对AVS—M亚像素运动矢量搜索的复杂性，提出一种基于预测的亚像素运动估计快速搜索算法。算法通过分析亚像素候选点的匹配误差关系排除可能性小的点，保证了亚像素搜索的准确性。通过有效的搜索策略，对于不同运动特征的视频序列，在平均PSNR下降不超过0．01dB的情况下，与亚像素全搜索算法相比，搜索点数减少65．25％～87．69％，与中心偏置亚像素搜索算法相比，搜索点数减少43．67％～67．38％，有效减少了亚像素运动估计的计算量。To reduce the complexity of AVS-M sub-pixel motion vector search, this paper proposes a sub-pixel motion estimation fast searching algorithm based on prediction. The algorithm expels the less possibility points by doing matching error relation of sub-pixel points selected analysis, which assures the accuracy of sub-pixel search. Through effective search strategy, compared with the half-pixel full search algorithm and CBFPS, experiments show that the proposed algorithm can respectively reduce the sub-pixel search points by 65.25% - 87.69% and 43.67% - 67.38% on average PSNR lost less than 0. 01 dB to the video sequences with different motion characteristics. The algorithm efficiently decreases the computational number of sub-pixel motion estimation.

关 键 词：AVS—M 视频编码 亚像素运动估计 预测矢量 

分 类 号：TN919.81[电子电信—通信与信息系统]