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.
出处
《沈阳农业大学学报》
CAS
CSCD
北大核心
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)
关键词
图像处理
空间域
均值滤波
中值滤波
变系数
image processing
spatial space
median filter
average filter
variable coefficient
