摘要
论文针对高方差的高斯噪声的特点,提出了一种先定位和去除大噪声像素,后平滑小噪声像素的滤波方法。文中采用类均值滤波方法去除大噪声像素,利用改进的PCNN平滑小噪声像素。与已有的滤波方法相比,该算法在较好地滤除噪声的同时,具有自适应和图像边缘保护能力。实验结果证实了该方法的可行性和有效性。
A new approach of image filtering is presented in this paper concerning Gauss noise with high deviation.This approach firstly locates large noise pixels and only filters these pixels using an analogous average tilter,then smoothes small noise pixels through improved Pulse-coupled neural networks.The proposed method works well,and has strong adaptability as well as protecting image edge compared with other filtering methods.The experiment results and comparisons show that this method is feasible and effective.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第1期65-67,93,共4页
Computer Engineering and Applications
