基于小波变换的图像去噪

近年来，采用小波变换进行图像去噪已成为一个活跃的研究课题。针对传统去噪方法的缺陷，从理论上推导了二维小波分解和重构具体算法，研究了小波图像去噪的基本理论和方法，在此基础上利用Matlab7．0．1对含有两种不同高斯白噪声的图像进行了仿真实验，实验表明，基于小波变换的图像去噪可以有效地提高图像的去噪效果。

Image Denoising based on Wavelet Transform

Image denoising by means of wavelet transform has been an active research topic recently.In this paper,considered the limitation of the traditional denoising method,the algorithm of the 2-D wavelet decomposition and reconstruction was deduced and the fundamental principle and method of the wavelet image denoising is studied.Based on these theories,by using Matlab7.0.1,the simulated experiment on two sorts of images which contain different Gauss white noise is made.The experiment result shows the method of image denoising based on wavelet transform can enhance the impression of image denoising effectively.