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基于小波变换和高斯函数的影像去噪方法研究
引用本文:李二森,周晓明,张保明,刘伟,赵建超,初艳锋.基于小波变换和高斯函数的影像去噪方法研究[J].海洋测绘,2008,28(4):41-44.
作者姓名:李二森  周晓明  张保明  刘伟  赵建超  初艳锋
作者单位:1. 解放军信息工程大学,测绘学院,河南,郑州,450052
2. 海军出版社,天津,300450
3. 解放军信息工程大学,测绘学院,河南,郑州,450052;65015部队,辽宁,大连16023
摘    要: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。

关 键 词:图像处理  小波变换  高斯函数  中值滤波

Study on the Image Noises Elimination Based on the WaveletTransform and Gauss Function
LI Er-sen,ZHOU Xiao-ming,ZHANG Bao-ming,LIU Wei,ZHAO Jian-chao,CHU Yan-feng.Study on the Image Noises Elimination Based on the WaveletTransform and Gauss Function[J].Hydrographic Surveying and Charting,2008,28(4):41-44.
Authors:LI Er-sen  ZHOU Xiao-ming  ZHANG Bao-ming  LIU Wei  ZHAO Jian-chao  CHU Yan-feng
Institution:LI Er-sen, ZHOU Xiao-ming , ZHANG Bao-ming , LIU Wei , ZHAO Jian-chao, CHU Yan-feng(1. Institute of Surveying and Mapping ,Information Engineering University, Zhengzhou ,Henan,450052; 2. Navy Press, Tianjin ,300450 ; 3.65015 Troops, Dalian, Liaoning, 116023 )
Abstract:This paper advanced a method to eliminate noises on images by wavelet transform and Gauss function,it could not only eliminate white noise,but also is good for eliminating specking noise.The method carried on Gauss lowpass filtering to high frequency strips separately combined with the character of wavelet transform in wavelet field,then the wavelet coefficients after filtering could be transformed to the image with less noise through adverse transform.The experiments indicated that this method could not only eliminate white noise and specking noise effectively,but also reserve details on image,its filtering effect is better than median filtering and wavelet soft thresholding method.
Keywords:image processing  wavelet transform  Gauss function  median filtering
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