图像去噪混合滤波方法

传统均值滤波和中值滤波对高斯型噪声和椒盐型噪声有着不同的滤波特性。实际滤波时，由于图像往往会受到两种不同性质噪声的同时干扰，因此，单独采用中值滤波或均值滤波都不会达到最好的去噪效果，为了能同时对两种不同性质的噪声进行滤除，现提出了一种新的混合滤波算法，该算法首先利用局部阈值把受高斯型噪声污染的像素和受脉冲型噪声污染的像素区别开来，然后对受高斯噪声污染的像素采用均值滤波算法，而对受椒盐噪声污染的像素则采用中值滤波算法进行去噪。仿真结果证明，该方法更具有实用性和有效性。

Mixed Filter for Image Denoising

The conventional average filter and median filter have different filtering characteristics to Gauss noise and impulse noise. In fact, image usually is corrupted by Gauss noise and impulse noise simultaneously, so good filtering effect cannot be obtained if we only use average filter or median filter. In this paper, a new mixture filter method is proposed. The proposed method first classsifies the pixels into two classes, one is the pixels which are corrupted by Gauss noise and the other is the pixels corrupted by impulse noise and then average filter is used for the pixels corrupted by Gauss noise and median filter is used for the pixels corrupted by impulse noise. The simulation result verifies that the proposed method is feasible and efficient.