针对单独的线性滤波和非线性滤波方法难以解决混合噪声滤除的问题, 基于现有的标准自适应中值算法和梯度倒数加权平滑算法, 提出一种自适应中值梯度倒数加权的图像滤波算法。该算法自适应调节窗口大小检测出椒盐噪声并进行中值滤波处理, 同时通过设定的阈值对高斯噪声进行梯度倒数加权平滑, 以达到滤除混合噪声的目的。实验表明, 该算法与标准自适应中值滤波算法和梯度倒数加权平滑算法相比, 能够很好地滤除高斯噪声、椒盐噪声, 以及两者的混合噪声, 并且对高强度的图像噪声具有明显的滤波优势。

Based on the existing standard adaptive median filtering algorithm and gradient inverse weight smoothing algorithm, we propose an image filtering algorithm based on adaptive median and gradient inverse weight, aiming at the difficulty of mixed noise filtering by either single liner filter or non-linear filter. In order to filter the mixed noise, this algorithm adaptively adjust the window size to detect the salt & pepper noise and does median filtering, meanwhile, the gradient inverse weight smoothing is performed for the Gaussian noise by setting threshold. Experimental results show that this algorithm filters well for Gaussian noise, salt & pepper noise and the mixed noise, compared with the standard adaptive median filtering algorithm and the gradient inverse weight smoothing algorithm. And it has obvious filtering advantages for the high intensity image noise.