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基于简化型PCNN的图像混合噪声滤波方法 被引量：2

A method of hybrid noise filtering for images based on simplified PCNN
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摘要 对于被混合噪声污染的图像,考虑到图像所受混合噪声的特点,基于简化型PCNN模型对图像混合噪声进行滤波处理.阐述了脉冲耦合神经网络的运行原理.为了将PCNN模型应用到图像的混合噪声滤波,对PC-NN模型进行了适当的简化,并指出了此滤波方法的特点.给出了计算机仿真实验结果,并与应用其他滤波方法得到的结果进行了比较,表明有很大的优势. This paper brings forward a filtering method for images contaminated by hybrid noises using a simplified PCNN model. The principle of pulse coupled neural network （PCNN） is demonstrated. In order to apply PCNN model into hybrid noise filtering, PCNN model is properly simplified. The characteristic of this method is discussed. Experiment result of computer simulation is given and compared with results of other methods of image noise filtering.
作者 姜殿龙 赵峙江 张翠翠
机构地区 哈尔滨工程大学信息与通信学院
出处 《应用科技》 CAS 2008年第1期36-39,共4页 Applied Science and Technology
关键词 脉冲耦合神经网络 高斯噪声 噪声滤波 阈值 pulse-coupled neural networks Gauss noise noise filtering threshold
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献7

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二级参考文献21

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共引文献81

同被引文献16

  • 1何坤,周激流,刘昶,刘然.基于局部保边函数的低信噪比图像去噪[J].四川大学学报（工程科学版）,2009,41(2):179-184. 被引量：5
  • 2张军英,卢志军,石林,董继扬,石美红.基于脉冲耦合神经网络的椒盐噪声图像滤波[J].中国科学（E辑）,2004,34(8):882-894. 被引量：19
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  • 10Zhang Hongjuan,Zhang Zongnian,Lin Dongmei.A novel image de-noising algorithm combined PCNN with morphology [C].Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems.Xiamen,China,2007:208-211.

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二级引证文献15

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