摘要
小波变换能有效的去除高斯噪声,中值滤波能有效的去除脉冲噪声,两者结合可以更有效的去除高斯噪声和脉冲噪声的混合噪声.当医学图像去除混合噪声时,先进行中值滤波再进行小波去噪的方法优于先进行小波去噪后再进行中值滤波的方法,且去噪后图像视觉效果较好,而且图像均方误差(M SE)也较小.在图像去噪处理中这种方法具有实际应用价值.
Wavelet transform can reduce Gaussian noise effectively and median filtering can reduce impulse noise effectively.The combine of wavelet transform and median filtering can reduce mixed noise of Gaussian and impulse more effectively.When medical image with mixed noise is denoised,the way that median filtering is firstly used is better than one that wavelet transform is firstly used.And effect of image vision is good,moreover mean-square error {MSE} is small too.The method has the actual application value in image denoising processing.
出处
《数学的实践与认识》
CSCD
北大核心
2009年第23期135-139,共5页
Mathematics in Practice and Theory
关键词
小波变换
中值滤波
图像去噪
wavelet transform
median filtering
image denoising
