摘要
针对同时含有脉冲噪声和高斯噪声的混合含噪图像特点,结合自适应中值滤波和小波变换的阈值滤波的各自优点,提出了一种基于中值滤波和小波变换阈值去噪相结合的图像去噪方法,即先对图像进行自适应中值滤波去除脉冲噪声,然后利用小波变换去除剩余的高斯噪声.实验表明：该方法能在有效去除混合噪声的同时,较好地保持边缘和细节信息.
As for the features of the noise image mixed with the impulse noise and the Gaussian noise, combined with the respective merits of the adaptive median filter and wavelet transform threshold denoising, a kind of denoising method based on the combination of the median filter and wavelet threshold denoising is put forward. Firstly,remove the impulsive noise in the adaptive median filter, and then removes the Gaussian noise by using wavelet transform. Experiments show that this method can effectively remove the mixture noise. At the same time, it also can maintain the edge details of the information.
出处
《北华大学学报（自然科学版）》
CAS
2012年第3期352-355,共4页
Journal of Beihua University（Natural Science）
关键词
中值滤波
自适应中值滤波
小波变换
硬阈值
软阈值
median filter
adaptive median filter
wavelet transform
hard-threshold
soft-threshold
