摘要
视频信号内的噪声是信号中不希望出现的干扰部分,如果不加以有效的去除,会严重影响视频图像的质量.提出了一种基于运动补偿的自适应时域视频降噪算法.该方法通过运动补偿技术,在时域上跟踪并提取噪声.滤波的强度是根据物体运动轨迹上的运动强度自适应变化的.利用该算法,有效地去除了视频序列中的噪声,同时很好地保护了图像的细节.实验结果表明,采用本文的降噪算法处理后的视频图像质量明显优于采用空域的降噪方法的结果.
Noise in video signals will degrade the quality of image.A temporal adaptive filter based on a motion-compensation is proposed for noise reduction.The noise in video sequence is tracked by the motion-compensation in temporal domain.The filtering strength can be adaptively changed on the motion situation of a subject.The experimental results show that the proposed filter is better than that in spatial domain.The noise in video signals can be effectively reduced and the image will not be so blurry as the resu...
出处
《电子器件》
CAS
2007年第5期1666-1669,共4页
Chinese Journal of Electron Devices
基金
中国科学院青年创新基金支持
关键词
运动补偿
自适应时域滤波
运动强度检测
视频降噪
motion compensation
adaptive temporal filter
motion strength detection
video noise reduction