摘要
提出了一种有效的椒盐噪声图像滤波算法。该算法首先对含有噪声的图像取3×3邻域,判断某点是否为邻域极值将全部像素点分为可疑噪声与信号点集合;其次对每一个可疑噪声点在其3×3邻域内构造八个方向的梯度算子模板,通过比较8个方向梯度的大小,进一步确定其是否为噪声点;最后对噪声点进行邻域的中值滤波。实验结果表明该算法在滤除噪声的同时,很好地保存了图像的原始信息且有较好的信噪比。
An efficient kind of filtering algorithm is given to restore images corrupted by salt-pepper impulse noise.First it selects a 3-3 neighborhood.According to whether gray value of arbitrary pixel is its neighborhood＇s extremum,all pixels are divided into doubtful noises pixels and signal pixels.Then it constructs 8 templets of orientation gradient for each doubtful noise,makes the sure of the noises sets according to the magnitude of 8 values of orientation gradient.The results of experiment prove that the new method not only saves the original image information and has a good Signal-to-Noise Ratio,but also removes noises simultaneously.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第28期41-43,共3页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)(the National High-Tech Research and Development Plan of China under Grant No.2006AA04Z212)。
关键词
椒盐噪声
方向梯度
极值
中值滤波
salt-pepper noise
orientation gradient
extreme value
median filter
