消除脉冲噪声通常采用中值滤波算法。尽管有许多中值滤波方法做了很大改进,但是,在噪声密度较高的情况下,图像滤波的结果仍然不能令人满意,因此,提出了一种新型中值算法。首先对滤波窗口中的像素进行分类,然后确定其中多元素子集的中子集,并且根据多元素子集的个数来决定是进行滤波还是扩大滤波窗口。最后,在仿真中,将该算法分别和几种中值滤波算法在数值和视觉上进行比较,实验结果显示,该算法能够有效地降低脉冲噪声并且保留了原始图像的更多细节。

The median filters have been generally adopted to reduce impulse noise.Although many existing median approaches have been greatly improved,the results of image filtering were not satisfactory at high noise density.Thus,in this paper,a novel median algorithm is proposed.First,all pixels of the filtering window are classified.Then the median subset of the multi-elements subsets is educed.The number of the multi-elements subsets determines whether the image is filtered or whether the filtering window is extended.Finally,in simulations,the proposed algorithm is compared with several kinds of median filters in the numerical value and the vision,respectively.Experimental results show that the new filter can effectively reduce the impulse noise and preserve more details of original images.