基于改进中值滤波的图像去噪算法

Image Denoising Algorithm Based on Improved Median Filter

中值滤波算法是一种常见的图像去噪算法,其性能受滤波器窗口大小的影响较大,因此提出一种能够根据噪声点自动调节滤波窗口大小的改进中值滤波算法,可以有效克服中值滤波不能调整窗口大小的缺点,避免图像边缘模糊。通过利用Matlab进行仿真实验,将所提算法与中值滤波和维纳滤波算法进行对比,并计算峰值信噪比(Peak Signal to Noise Ratio,PSNR)来分析去噪结果。实验表明,与中值滤波和维纳滤波相比,改进中值滤波算法能够更加快速准确地去除图像中的噪声。因此,该改进中值滤波算法是一种有效的图像去噪算法。

The median filter algorithm is a common image denoising algorithm,and its performance is greatly affected by the size of the filter window.Therefore,an improved median filter algorithm that can automatically adjust the size of the filter window according to the noise point is proposed,which can effectively overcome the median.The shortcoming of value filtering can not adjust the size of the window to avoid blurry image edges.By using Matlab to conduct simulation experiments,the proposed algorithm is compared with median filtering and Wiener filtering algorithms,and the peak signal to noise ratio(Peak Signal to Noise Ratio,PSNR)is calculated to analyze the denoising results.Experiments show that compared with median filtering and Wiener filtering,the proposed improved median filtering algorithm can remove noise in images more quickly and accurately.The improved median filtering algorithm is an effective image denoising algorithm.