一种基于极值的自适应中值滤波改进算法

提出了一种基于极值的自适应中值滤波改进算法,该方法可以有效地保护图像细节,并去除图像中的椒盐噪声.首先利用椒盐噪声的分布给出疑似噪声的判断标准,然后根据噪声密度自适应地确定滤波窗口大小,再采用一种新的算法进行滤波,最后将本算法与其他几种滤波算法进行对比,实验结果表明,本算法优于其他中值滤波算法.

An Improved Adaptive Median Filter Algorithm Based on Extreme Value

An improved adaptive median filter algorithm based on extreme value is presented in tins paper. The efficient signals are reserved as much as possible when the noises are removed. First, using salt and pepper noise＇ s distribution a judgement standard of suspicious noise is given. Then according to noise density the adaptive filtering window size is determined and to choose a new algorithm to filter. Finally the standard median and some improved algorithms with the new algorithm of this paper are compared. Experiments show that the new algo- rithm of this paper is better than that of other median filtering algorithm.