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Study on the Image Noises Elimination Based on the Wavelet Transform and Gauss Function
Author(s): 
Pages: 41-44
Year: Issue:  4
Journal: HYDROGRAPHIC SURVEYING AND CHARTING

Keyword:  图像处理小波变换高斯函数中值滤波;
Abstract: 提出了小波变换与高斯函数相结合进行影像去噪的方法,在去除高斯白噪声的同时能够有效去除椒盐噪声.此方法是在小波域内结合小波变换的特点对高频子带分别进行高斯低通滤波,将滤波后的小波系数经过反变换后即可得到经过去噪后的影像.实验表明该方法不仅对高斯噪声和椒盐噪声去噪效果明显,而且保留了影像的细节信息,其滤波效果优于中值滤波和小波软阈值法.
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