基于中值滤波和维纳滤波的图像混合噪声滤波研究  

Study on Removal of Mixed Noise in Images Based on Median Filter and Wiener Filter

作　　者：杨辉[1] 唐建锋[1] 杨利容[1] 许岳兵[1] 

机构地区：[1]衡阳师范学院物理与电子信息科学系,湖南衡阳421008

出　　处：《衡阳师范学院学报》2011年第6期52-55,共4页Journal of Hengyang Normal University

基　　金：衡阳师范学院科学基金项目(10A45)

摘　　要：某一种去噪方法通常只对某一类噪声的滤除较为有效,为了抑制混合噪声,提出一种结合中值滤波与维纳滤波的图像去噪算法。该算法首先检测出脉冲噪声点,并对脉冲噪声点进行中值滤波处理,然后用维纳滤波滤除图像中的高斯白噪声。仿真实验表明,对于被高斯、脉冲混合噪声污染的图像,该算法的去噪效果显然比单一的中值滤波和维纳滤波好得多。One denoising method is only effective to one kind of noise. In order to suppress mixed noise, an image denoising al- gorithm combining median filter with wiener filter is proposed. The algorithm detects impulse noise points first, and median fil- ter is applied to the points, then wiener filter is used to filter the Gaussian white noise in images. Simulation experiments show that the algorithm is obviously much better than single median filter or wiener filter when filtering mixed noise of Gaussian and impulse in images.

关 键 词：图像去噪 中值滤波 维纳滤波 高斯噪声 脉冲噪声 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]