| 基于HVS特性的自适应K近邻均值滤波算法 |
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| 引用本文： | 杨恒伏,孙光,田祖伟.基于HVS特性的自适应K近邻均值滤波算法[J].计算机工程与应用,2009,45(10):179-181. |
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| 作者姓名： | 杨恒伏 孙光 田祖伟 |
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| 作者单位： | 1. 湖南第一师范学院,信息技术系,长沙,410205
2. 湖南财经高等专科学校,信息管理系,长沙,410205 |
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| 基金项目： | 湖南省教育厅资助项目，湖南第一师范学院项目 |
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| 摘 要： | 通过充分考虑宿主图像亮度、纹理、边缘等特征,提出一种改进的图像自适应K近邻均值滤波算法。该方法首先利用基于人眼视觉特性的临界噪声阈值来确定噪声点,然后根据噪声密度自适应调整滤波窗口大小与参与滤波的像素数K值,采用自适应K近邻均值滤波对检测出的噪声点进行处理。该算法能有效去除噪声,并较好地保留图像边缘细节,仿真实验结果表明,提出算法比传统中值滤波、均值滤波和K近邻均值滤波算法有更好的去噪能力。
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| 关 键 词： | K近邻均值滤波 人类视觉系统 噪声检测 椒盐噪声 |
| 收稿时间： | 2008-7-31 |
| 修稿时间： | 2008-10-20
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Image adaptive K-nearest neighbour mean filters based on HVS |
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| YANG Heng-fu,SUN Guang,TIAN Zu-wei.Image adaptive K-nearest neighbour mean filters based on HVS[J].Computer Engineering and Applications,2009,45(10):179-181. |
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| Authors: | YANG Heng-fu SUN Guang TIAN Zu-wei |
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| Affiliation: | YANG Heng-fu,SUN Guang,TIAN Zu-wei 1.Department of Information Technology,Hunan First Normal College,Changsha 410205,China 2.Department of Information Management,Hunan Financial , Economic College,China |
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| Abstract: | An image adaptive K-nearest neighbour filtering algorithm(AKNNMF) is presented by the exploiting of luminance,edge,texture characteristics of the host image.Firs possible noisy pixels are determined according to the just noticeable difference based on Human Visual System(HVS) masking characteristics,and then the filter window size and the K value is adaptively adjusted by the noise density.Finally,the noisy pixels are removed by the improved adaptive K-nearest neighbour filtering algorithm.It can successful... |
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| Keywords: | K-nearest neighbour filters human visual system noise detection salt and pepper noise |
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