一种基于累积量的自适应运动补偿滤波器

International Symposium on VIPromCom Video/Image Processing and Multimedia Communications Pub Date : 2002-11-07 DOI:10.1109/VIPROM.2002.1026667

M. Elhassouni, H. Cherifi, D. Aboutajdine

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引用次数: 1

摘要

本文研究了高阶统计量(HOS)在时空滤波方案中的应用，以降低视频序列中的噪声。在滤波之前，由一个鲁棒估计器进行运动补偿。然后，我们应用了一个三维序统计滤波器。这两个阶段都是基于峰度最小化。在有噪声的真实视频序列上的实验结果表明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An adaptive motion-compensated filter using cumulants

This paper deals with the use of higher order statistics (HOS) in a spatio-temporal filtering scheme to reduce noise in video sequences. Prior to filtering, motion compensation is performed by a robust estimator. Then, we apply a 3-D order statistic filter. Both stages are based on Kurtosis minimization. Experimental results on noisy real video sequences illustrate the efficiency of the proposed approach.

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International Symposium on VIPromCom Video/Image Processing and Multimedia Communications

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