| 基于PCNN的高斯噪声滤波 |
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| 引用本文： | 李永刚,石美红,魏远旺.基于PCNN的高斯噪声滤波[J].计算机工程与应用,2007,43(1):65-67,93. |
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| 作者姓名： | 李永刚 石美红 魏远旺 |
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| 作者单位： | 1. 嘉兴学院,信息工程学院,浙江,嘉兴,314001
2. 西安工程科技学院,计算机科学学院,西安,710048 |
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| 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。
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| 关 键 词： | 脉冲耦合神经网络 高斯噪声滤波 自适应性 |
| 文章编号： | 1002-8331（2007）01-0065-03 |
| 修稿时间： | 2006-04 |
Image gauss noise filtering based on PCNN |
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| LI Yong-gang,SHI Mei-hong,WEI Yuan-wang.Image gauss noise filtering based on PCNN[J].Computer Engineering and Applications,2007,43(1):65-67,93. |
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| Authors: | LI Yong-gang SHI Mei-hong WEI Yuan-wang |
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| Abstract: | 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. |
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| Keywords: | Pulse-Coupled Neural Networks(PCNN) Gauss noise filter adaptive |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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