计算机工程 ›› 2010, Vol. 36 ›› Issue (24): 214-216.doi: 10.3969/j.issn.1000-3428.2010.24.077

• 多媒体技术及应用 • 上一篇    下一篇

基于AVS-M的亚像素运动估计快速算法

张新安,宫彦军,陈爱武   

  1. (湖南科技学院电子工程系,湖南 永州 425100)
  • 出版日期:2010-12-20 发布日期:2010-12-14
  • 作者简介:张新安(1957-),男,副教授,主研方向:数字信号处理,DSP应用;宫彦军,副教授、博士;陈爱武,讲师、硕士
  • 基金项目:

    湖南省科技厅科技发展计划基金资助项目(2009FJ4062);湖南省教育厅高等学校科学研究基金资助项目(08C364)

Fast Algorithm of Sub-pixel Motion Estimation Based on AVS-M

ZHANG Xin-an, GONG Yan-jun, CHEN Ai-wu   

  1. (Department of Electronic Engineering, Hunan University of Science and Engineering, Yongzhou 425100, China)
  • Online:2010-12-20 Published:2010-12-14

摘要:

提出一种适用于AVS-M基于预测的亚像素运动估计快速搜索算法。分析亚像素候选点的匹配误差关系以排除可能性小的点,保证亚像素搜索的准确性。采用有效的搜索策略,对于不同运动特征的视频序列,在平均PSNR下降不超过0.01 dB的情况下,该算法与亚像素全搜索算法相比,减少了68.50%~87.69%的搜索点数,与中心偏置亚像素搜索算法相比,减少了44.68%~67.38%的搜索点数。

关键词: 视频编码, 亚像素运动估计, 预测矢量

Abstract:

This paper proposes a kind of fast search algorithm which is apt for AVS-M based on predicted sub-pixel Motion Estimation(ME). 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-pel full search algorithm and Center Biased Fractional Pixel Search(CBFPS), experiments show that the proposed algorithm can respectively reduce the sub-pel search points by 68.50%~87.69% and 44.68%~67.38% on average PSNR lost less than 0.01 dB to the video sequences with different motion characteristics.

Key words: video coding, sub-pixel Motion Estimation(ME), prediction vector

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