摘要
为消除磁瓦图像中的脉冲噪声,提出一种改进的自适应中值滤波算法:该算法通过对小窗口内非噪声点的检测来决定是增大滤波窗口还是选择输出,尽可能地减小了滤波窗口,使得图像细节得到更好地保护;同时该算法对位于窗口中心的疑似噪声点进行二次判别,避免了将信号点误判为噪声点;然后将噪声点按改进的中值滤波输出,而信号点灰度保持不变。仿真实验结果表明,该算法能够有效地滤除磁瓦图像中不同水平的脉冲噪声,并较好地保留原始图像细节信息,较标准中值滤波及其它改进中值滤波算法有更优的滤波性能。
An improved adaptive median filter is proposed to restore images corrupted by impulse noise. The non-noise pixels are detected in a small window to decide to put out the pixel value or enlarge the fltering window size according to the non- noise pixels, and the fltering window size is reduced as small as possible, and the better results of detail preserving are obtained. And meanwhile discriminate the noise from the dubious noisy pixels in center of the window, then filter out the detected noise with median filtering but output the signal points directly without changes. Simulation results show that the proposed algorithm can suppress noise very effectively, preserve fine details very well and has better filtering performance than the standard median filter and other improved median filters.
出处
《机械设计与制造》
北大核心
2015年第2期119-121,125,共4页
Machinery Design & Manufacture
关键词
脉冲噪声
中值滤波
自适应
磁瓦
Impulse Noise
Median Filtering
Adaptive
Magnetic Tile
