为了在去除图像高密度随机脉冲噪声的同时最大程度地保护图像边缘和细节,提出一种新方法。该方法首先利用图像局部灰度相似性,提取种子像素;然后只对种子像素进行开关中值滤波,去除误判的种子像素,采用自适应变窗口尺寸;最后利用种子像素先探测漏选的种子像素,接着重构非种子像素。实验结果表明,与其他方法相比,该方法是综合性能最优之一。

In this paper,a new method is proposed for removing and restoring random-valued impulse noise in images in order to preserve fine details.At first,based on a similar neighbor criterion,seed pixels are extracted.Then switch median filter is applied to the seed pixels for removing the misjudged seed pixels with an adaptive window size.Lastly,the missing seed pixels are probed firstly and then the noise pixels are restored both using the seed pixels.Compared with other well-known methods,this technique achieves superior performance.