摘要
提出基于方向梯度的时域降噪算法,利用运动估计技术,计算相邻图像间的运动矢量.通过计算图像每个像素点方向梯度,将图像所有像素点分为噪声点、边界点和内部点.对噪声点沿运动轨迹方向采用时域加权滤波,对边界点和内部点保持原来的灰度值.采用Matlab软件仿真环境实验结果表明:该降噪算法在去除视频序列噪声的同时也能很好地保护图像的细节.
A temporal noise reduction algorithm based on orientation gradient was proposed. The motion vectors of adjacent images were calculated with motion estimation technology. Based on the calculation of orientation gradient of each pixel in the image, all pixels were divided into noise, boundary and inside pixels. The temporal weighted filter was adapted to the noise pixels and the original gray were kept to boundary and inside pixels. The experimental result in Matlab software simulation environment shows that the noise reduction algorithm can effectively reduce the noise in video signals and also protect image details.
出处
《上海工程技术大学学报》
CAS
2016年第1期93-96,共4页
Journal of Shanghai University of Engineering Science
基金
上海市大学生创新训练计划资助项目(cs1521003)
关键词
方向梯度
运动检测
时域降噪
orientation gradient
motion detection
temporal noise reduction
