改进的基于中值滤波和小波变换的图像降噪方法

Study of the improved image de-noise method based on median filter and wavelet transform

针对基于小波变换的阈值去噪方法仅适用于去除高斯白噪声,对于脉冲噪声得不到好的降噪效果的问题,提出了将基于高斯模型的小波变换算法与改进的中值滤波相结合的去噪方法。该方法能够有效去除高斯白噪声和脉冲噪声的混合噪声。仿真实验结果表明,结合算法去噪后图像的峰值信噪比和均方误差都比单一算法得到了改善,从而证明了该方法的有效性。

The de-noising method by threshold based on wavelet transform is only used to remove Gaussian white noise and invalid to remove impulse noise. This paper proposes the de-noising method that combines wavelet transform based on Guass model algorithm and improved median filter. This method can effectively remove fixed noises of the Gaussian white noise and impulse noise. The simulation experiment shows that combined algorithm for de-noising images of the peak signal-noise ratio and mean square error than the single algorithm is improved, and the validity of this algorhhm is proved.