改进的中值滤波去噪算法应用分析

去噪处理是图像处理中较为重要的环节。中值滤波是抑制图像的噪声的一个行之有效的办法，选择适当大小的中值滤波窗口可以在最大限度地保持图像精度的基础上去除图像噪声。在对中值滤波去噪算法的适用性特点进行研究的基础上，进一步做了中值滤波去噪的改进算法的应用实现研究，同时对其他去噪算法，如均值滤波、低通滤波的小波变换进行实验分析研究，并对实验结果做了相应的比较。

Application of improved arithmetic of median filtering denoising

Noise reduction is one of the most important parts of image processing.Median filtering is a proven way to remove image noise.To select the appropriate size of the window can maximize to remove image noise on the basis of maintaining the accuracy of the image. On the basis of investigating the application of the median filtering algorithm denoising characteristics, implementing the improved median filtering algorithm denoising is studied.At the same time experiments are done to analyze the differences between the median filtering algorithm and the mean filtering, wavelet transform algorithm.Then the results are compared and the conclusion is given.