| 小波域中基于模糊的图像去噪方法 |
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| 引用本文： | 李军,陈光梦.小波域中基于模糊的图像去噪方法[J].复旦学报(自然科学版),2005,44(6):971-976. |
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| 作者姓名： | 李军 陈光梦 |
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| 作者单位： | 复旦大学,电子工程系,上海,200433;复旦大学,电子工程系,上海,200433 |
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| 摘 要： | 在图像去噪方法中，信号局部方差估计的准确性对去噪效果起至关重要的作用．根据图像小波系数与邻近点的相关性，把模糊（Fuzzy-based）函数用于估计信号的局部方差，根据局部噪声变化自适应地去除噪声．仿真表明，提出的局部方差估计算法FLAWML的去噪效果相对其他算法有较好的改善，保存了图像的边缘细节，增强了图像视觉效果．
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| 关 键 词： | 图像处理 图像去噪 模糊函数 小波变换 |
| 文章编号： | 0427-7104（2005）06-0971-06 |
| 收稿时间： | 09 28 2004 12:00AM |
| 修稿时间： | 2004-09-28 |
Image Denoising Based on Fuzzy in Wavelet Domain |
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| LI Jun,CHEN Guang-meng.Image Denoising Based on Fuzzy in Wavelet Domain[J].Journal of Fudan University(Natural Science),2005,44(6):971-976. |
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| Authors: | LI Jun CHEN Guang-meng |
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| Institution: | Department of Electronic Engineering, Fudan University, Shanghai 200433, China |
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| Abstract: | The similarity of the wavelet coeffients of adjacent neigbors is exploited.A fuzzy function of the similariry in space and amptitude is proposed,which is used to estimate the signal local variance.Signal local variance is the key to have better denoising performance.Experiments show that Fuzzy-based LAWML(FLAWML) based on the present new estimation of local variance proposed suppresses the noise and preserves the edge details of the image more effectively than other denoising methods. |
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| Keywords: | image processing image denoising fuzzy function wavelet transform |
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