基于多层自适应背景模型的实时视频去噪算法  

Real-time video denoising arithmetic based on adaptive multi-layers background

作　　者：沈未名[1] 郭晓云[1] 杨黎东 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室多媒体通信工程中心,武汉430072 [2]湖北科创高新网络视频股份有限公司项目管理部,武汉430071

出　　处：《计算机工程与应用》2008年第19期230-234,共5页Computer Engineering and Applications

基　　金：科技部科技型中小企业技术创新基金(Innovation Fund for Small Technology-based Firms under Grant No.05C26214201088)

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。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.

关 键 词：多层自适应背景模型 视频去噪 维纳滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]