| 基于可变步长PCNN的图像高斯噪声滤除 |
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| 引用本文： | 刘显波,聂仁灿,周冬明,赵东风.基于可变步长PCNN的图像高斯噪声滤除[J].云南大学学报(自然科学版),2010,32(1):26-29. |
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| 作者姓名： | 刘显波 聂仁灿 周冬明 赵东风 |
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| 作者单位： | 云南大学通信工程系, 云南昆明 650091 |
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| 摘 要： | 针对高斯噪声的特点,在PCNN的基础上对灰度补偿模式作出改进,提出可变步长的灰度补偿模式的去噪方法.实验仿真表明,该方法对被高斯噪声污染的图像有较好的滤波效果,与相关的文献相比,在信噪比改善因子上体现了更好的性能.
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| 关 键 词： | 脉冲耦合神经网络 高斯噪声滤波 可变步长 |
| 收稿时间： | 2008-7-15 |
A new approach for noise reducing of image using variable step based on PCNN |
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| LIU Xian-bo,NIE Ren-can,ZHOU Dong-ming,ZHAO Dong-feng.A new approach for noise reducing of image using variable step based on PCNN[J].Journal of Yunnan University(Natural Sciences),2010,32(1):26-29. |
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| Authors: | LIU Xian-bo NIE Ren-can ZHOU Dong-ming ZHAO Dong-feng |
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| Institution: | Department of Communication Engineering, Yunnan University, Kunming 650091, China |
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| Abstract: | In view of Gauss noise characteristic,this paper proposed a denoising method carries on the gradation compensation with the variable step based on Pulse-Coupled Neural Networks ( PCNN).This method worked well,and could manifest the PCNN's nature capture characteristic better compared with other filtering methods.The experiment results showed that it had manifested a better performance in the signal-to-noise ratio improvement factor. |
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