一种基于PCNN和自适应中值滤波的去噪方法  

An image denoising method based on PCNN and adaptive median filter

作　　者：刘莉[1] 谈文蓉[1] 王燕[1] 

机构地区：[1]西南民族大学计算机科学与技术学院,四川成都610041

出　　处：《西南民族大学学报（自然科学版）》2010年第6期1045-1049,共5页Journal of Southwest Minzu University(Natural Science Edition)

基　　金：四川省科技支撑计划项目(2008GZ0145)

摘　　要：论文探讨了和简化了PCNN模型,针对脉冲噪声的特点,提出了把该PCNN模型和自适应中值滤波相结合用于去除噪声的方法,与已有的滤波方法相比,该方法在较好地滤除噪声的同时,具有较好的图像边缘细节的保护能力.实验结果证实了该方法的可行性和有效性.The principle of pulse coupled neural network（PCNN） is disussed in this paper,and the PCNN model is properly simplified.A new mothod that combines the PCNN model with the adaptive median filter is brought forward for the removal of impulse noise in digital images.Compared with other filtering methods,this method works well,and has strong adaptability as well as protecting image edge and image detail while noises decrease.The experiment results and comparisons show that this method is feasible and effective.

关 键 词：脉冲耦合神经网络 自适应中值滤波 图像去噪 脉冲噪声 

分 类 号：TP21[自动化与计算机技术—检测技术与自动化装置]