运动估计的噪声方差自适应SEA:一种两阶段模式

18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-09-18 DOI:10.1109/ICPR.2006.859

Weigang Chen

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引用次数: 0

摘要

在实际的视频编码器中，从CCD摄像机获得的视频序列不可避免地会产生噪声，这不仅会降低图像质量，而且会降低编码效率。在对噪声信号进行统计分析的基础上，提出了一种用于块运动估计的噪声方差自适应两阶段逐次消除算法。仿真结果表明，该算法可以获得接近全搜索的性能，同时显著减少了计算时间

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Noise Variance Adaptive SEA for Motion Estimation: A Two-Stage Schema

In a practical video encoder, a video sequence obtained from a CCD camera inevitably conveys noise, which degrades not only image quality but also coding efficiency. Based on the statistic analysis of noise signal, a noise variance adaptive two-stage successive elimination algorithm (NVA-SEA) for block motion estimation is presented. Simulation results demonstrate that the proposed algorithm can get close performance to the full search, while the computation time has been significantly reduced

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18th International Conference on Pattern Recognition (ICPR'06)

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