Abstract: A real-time video denoising algorithm based on adaptive multi-layers background is presented in this paper.The adaptive multi-layers background，which is aimed at the demand for video denoising，not only applies to　static scene，but also applies to unstable scene.The modification of multi-layers background would be accomplished by a short-term adjustment after the scene changed.Based on the multi-layers background，the video denoising algorithm promotes the distinct vision of static scene and the short-term inactive region.The model of multi-layers background adjusts step by step adaptively.So it is not in need of a long-term delay and expensive computation.Experiments demonstrate the effectiveness of this algorithm.

Key words: multi-layers background, video denoising, Wiener filter

摘要： 提出了一种基于多层自适应背景模型的实时视频去噪算法。针对视频去噪的需求提出的多层自适应背景模型，是一种不仅适用于静态的背景，还适用于快速变化的背景。在背景经历突变再次稳定后，它能够在短暂的时间内完成背景模型的重建。多层自适应背景模型是自适应地单帧逐渐调整，因此它不存在多帧的时延与计算量。去噪效果表明，此算法对视频图像的视觉质量有明显改善。

关键词: 多层自适应背景模型, 视频去噪, 维纳滤波