一种快速自适应全局运动估计算法的研究

张方; 肖嵩; 吴成柯

一种快速自适应全局运动估计算法的研究

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- 被引次数: 0
出版历程
- 收稿日期: 2002-07-04
- 修回日期: 2003-02-25
- 刊出日期: 2004-04-19

Study on a Fast Adaptive Global Motion Estimation Algorithm

摘要

摘要: 该文提出一种快速自适应全局运动估计算法。该方法从分析块匹配运动矢量统计特性出发,通过引入一个可预设置参数,计算当前帧与参考帧之间的基本平移矢量,并自适应地采取混合全局运动、局部运动估计的算法处理不同特征的源数据.仿真结果表明,与传统方法相比,该文算法复杂性低、处理延时小、更利于硬件实现,在PSNR变化不大的情况下,编码效率有较大的改善.
- 全局运动估计; 基本平移矢量; 运动矢量场; H.263+
Abstract: An adaptive global motion estimation algorithm is proposed in this article. Based on the statistic feature of block matching moving vector, the method calculates the basic translation vector between current frame and referenced frame through a revisable parameter, and adaptively chooses processing algorithm for image sources with different characteristics. Simulation results show that the proposed algorithm not only has the ad-vantages of low complication, short delay and simple implementation, but also can highly improve the coding efficiency when PSNR varies slightly.

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参考文献(1)

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