一种改进的变系数图像去噪方法  

An Improved Variable Coefficient Images Denoising Method

作　　者：周大鹏[1] 何远智[1] 张自友[1] 

机构地区：[1]乐山师范学院物理与电子工程学院,四川乐山614000

出　　处：《沈阳农业大学学报》2013年第3期381-384,共4页Journal of Shenyang Agricultural University

基　　金：四川省教育厅科研项目(12zb054)

摘　　要：为了在图像处理去噪的同时更多地保留细节,对采用均值和中值结合的滤波方法进行了研究;采用分类处理的方法处理不同噪声类型和密度的图像,减小了归一化均方误差,提高了峰值信噪比。仿真结果表明,提出的变系数滤波算法在去噪效果上较对比算法有明显提高。A variable coefficient images denoising method is proposed in order to obtain the edge as well as detail characteristics of impulse noise image. A image is polluted by Gaussian noise and impulse noise simultaneously when denoising in spatial space Usually,good filtering cannot be obtained if only using one of them. The variable coefficient filter using a different coefficient to minimize the influence of each gray values of the pixels as is regarded as black noise and white noise and choosing a threshold to decided which filter will be used as the most suitable one. The experimental results showed that the method of variable coefficient could minimize the NMSE and enhanced the PSNR improved the quality than the classical methods in images denoising.

关 键 词：图像处理 空间域 均值滤波 中值滤波 变系数 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]