计算机技术与发展2011，Vol.21Issue(2)：51-53,57,4.
基于均值滤波和小波变换的图像去噪技术研究
Research of Image De-noising Technology Based on Mean Filtering and Wavelet Transformation
摘要
Abstract
A method of image de-noising technology based on the mean faltering and wavelet transformation is proposed, Firstly noisedimage was decomposed by wavelet transformation and the wavelet parameters were processed using reasonable threshold value in the domain of wavelet. Then the image can be reconstructed correctly to the first layer and according to respective characteristics every subband images were denoised by different filter templates. Lastly denoised-image was obtained by composing the three high frequency detail images with mean filtering and low frequency approximation image. Compared with the wavelet de-noising methods of global Donoho soft,hard threshold and the wavelet de-noising methods of Birge-Massart strategy soft, hard threshold, the de-noising effect of this way is more obvious. It not only reduces the noise of the image, but also retains the detail of the image, and the image looks more smoother. The experiment proves this method is an effect way of de-noising image.关键词
图像噪声/均值滤波/小波变换/去噪分类
信息技术与安全科学引用本文复制引用
颜兵,王金鹤,赵静..基于均值滤波和小波变换的图像去噪技术研究[J].计算机技术与发展,2011,21(2):51-53,57,4.基金项目
山东省教育科技计划项目(J08LJ64) （J08LJ64）
