基于小波变换和高斯函数的影像去噪方法研究  

Study on the Image Noises Elimination Based on the Wavelet Transform and Gauss Function

作　　者：李二森[1] 周晓明[1] 张保明[1] 刘伟[1] 赵建超[2] 初艳锋[1] 

机构地区：[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

出　　处：《海洋测绘》2008年第4期41-44,共4页Hydrographic Surveying and Charting

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。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 carded 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.

关 键 词：图像处理 小波变换 高斯函数 中值滤波 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]