摘要
大数据量高清视频流在拍摄、传输等过程中可能受到干扰而产生椒盐噪声。由于其具有数据传输速度快的特点,为了确保它的实时性,进一步提高滤波算法的时间效率和计算效率,对现有的自适应中值滤波进行了改进,提出了一种高速自适应中值滤波算法。滤波过程主要分为噪声点检测和噪声去除两个阶段。其中,在噪声点检测阶段,根据椒盐噪声的极值特性,将图像的像素点分为噪声点和信号点;在噪声去除阶段,信号点保持原值,噪声点根据自适应中值进行赋值。实验结果表明,该算法相较于多种中值滤波方法具有很好的滤波作用,以及很大的速度提升。
The high-definition video stream with large amount of data may be interfered in the process of shooting and transmission,resulting in salt and pepper noise.Because of its fast data transmission speed,in order to ensure its real-time performance,further improving the time efficiency and calculation efficiency of the filtering algorithm,the existing adaptive median filter is improved,and a high-speed adaptive median filter algorithm is proposed.The filtering process is divided into two stages:noise point detection and noise removing.In the noise point detection stage,according to the extreme value characteristics of salt and pepper noise,the image pixels are divided into noise points and signal points;in the noise removing stage,the signal points keep the original value,but the value of the noise points are assigned according to the adaptive median.The experiment results show that the algorithm has a good filtering effect compared with a variety of median filtering methods,and greatly improves the speed.
作者
马炼
李林
Ma Lian;Li Lin(School of Electrical and Electronic Engineering,Wuhan Polytechnic University,Wuhan,Hubei 430000,China)
出处
《计算机时代》
2021年第10期68-71,共4页
Computer Era
基金
武汉轻工大学2021年大学生科研项目(xsky2021074)
湖北省教育厅青年基金项目(Q20191602)。
关键词
图像去噪
中值滤波
自适应
椒盐噪声
高速
image denoising
median filtering
self-adaptive
salt and pepper noise
high speed
