摘要
中值滤波窗口大小影响滤波器性能,3×3滤波窗口可以很好地保持图像细节。提出一种新的自适应中值滤波方法。将3×3窗口中心的极值点作为候选噪声点,若候选噪声点仍然是7×7窗口的极值点,则该点即是噪声点。若以噪声点为中心的3×3滤波窗口的中值不是噪声,则噪声用中值替换。重复以上过程,直到没有噪声点被替换。如果图像中仍然存在大的噪声团块,则噪声用相邻的三个信号点的灰度均值替换。实验结果表明,该方法能够有效去除脉冲噪声,并在抑制噪声的同时很好地保护图像的细节。
The size of median filtering window influences the capability of filter and 3×3 filtering window can preserve image details.An adaptive median filtering method was proposed.The extreme value point in 3×3 filter window was taken as candidate noise.If the candidate noise is extreme value in 7×7 window,then it is a sure noise.If the median value of 3×3 filter window is not noise,then the central noise would be replaced with the median value.The steps above were repeated until there was no noise replaced.If there still existed large noise cluster,the noise would be replaced with the mean of the three signals near it.The experimental results show that the method can denoise impulse noise and protect the image details effectively.
出处
《计算机应用》
CSCD
北大核心
2011年第7期1835-1837,1883,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(31000450)
关键词
脉冲噪声
中值滤波
噪声检测
自适应
impulse noise
median filtering
noise detection
adaptive
