一种基于Rank变换的改进中值滤波

针对传统中值滤波对孤立噪声点和连续噪声不能有效滤波等问题，提出了一种改进算法：首先通过Rank变换，找出图像中所有的孤立噪声点，然后遍历图像对孤立的噪声点采用中值滤波，最大限度保持图像细节，有效地解决了在抑制图像噪声和保护图像细节方面的矛盾，对图像中孤立噪声，蕞唷较好的滤波效果；随后，进一步针对少量连续噪声点的情况，采用迭代算法对上述改进中值滤波算法结果进行处理，来解决连续噪声的滤波问题．试验结果表明，本文算法滤波后的图像效果明显好于传统滤波方法，能够有效地去噪，并能较好地保持图像细节和边缘．

An Improved Median Filter Algorithm Based on Rank Transform

In view of the defects of the isolate noise and continuous noise can not effectively filtered in conventional median filter algorithm,an improved median filter algorithm based on rank transform is proposed.Firstly,the isolate noise points can be found by rank transform;and then filtering all the isolate noise points by using median filter,and maintaining the image details,which can effectively filter the noise and protect the image details,the filter algorithm has a good effect of isolate noise.Secondly,as for continuous noise,the iterative algorithm is used to improve the median filter algorithm proposed before,by which to solve the problem of filtering continuous noise.The Experimental results show that the filter effect of algorithm proposed is better than the traditional filter algorithm;it can effectively denoising and can better keep the image details and edge.