基于小波变换的图像去噪方法

针对传统小波去噪时图像边缘被破坏因而丢失有用细节信息的问题，基于小波去噪的优点，研究了几种改进的基于小波变换的图像去噪方法。分别是基于小波变换和中值滤波的去噪方法，雏纳滤波和小波域滤波相结合的方法，小波变换去噪与高阶统计量滤波法去噪相结合的方法等。经过大量的计算机仿真试验，最后所得结果表明这几种改进后的基于小波变换的去噪方法均可以有效地降低图像的噪声干扰，比较好地保留图像中重要的细节信息，具有一定的实际应用价值。

New image denosing methods based on wavelet transform

Based on the advantage of wavelet denosing and aiming at the problem that the traditional wavelet denosing will destroy the image edge and lose the details,some improved image denosing methods based on wavelet transform were studied.These methods are the method based on the wavelet transform and median filter,the method by combination of Wiener filter and wavelet filter,the method by combination of wavelet transform denosing and higher order statistics,and so on.Simulation results show that the proposed met...