| 一种图像自适应Wiener组合滤波方法 |
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| 引用本文： | 赵双萍,邢敬宏.一种图像自适应Wiener组合滤波方法[J].计算机工程与应用,2010,46(31):169-171. |
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| 作者姓名： | 赵双萍 邢敬宏 |
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| 作者单位： | 兰州工业高等专科学校,软件工程系,兰州,730050 |
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| 摘 要： | 利用小波域Wiener滤波和空间域自适应Wiener滤波的特点，提出一种基于小波域自适应Wiener滤波和空间域自适应Wiener滤波的组合滤波方法。该方法首先在小波域进行自适应Wiener滤波，对恢复图像中的残留噪声方差进行重新估计，再在空间域进行自适应Wiener滤波，这种方法提高了恢复图像的精度。仿真实验表明，与单独的小波域和空间域Wiener滤波相比，该方法的均方误差最小，去噪效果更优。
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| 关 键 词： | 小波 Wiener滤波 自适应 最小均方误差 |
| 收稿时间： | 2010-2-1 |
| 修稿时间： | 2010-6-2
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Composite method for image adaptive wiener faltering |
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| ZHAO Shuang-ping,XING Jing-hong.Composite method for image adaptive wiener faltering[J].Computer Engineering and Applications,2010,46(31):169-171. |
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| Authors: | ZHAO Shuang-ping XING Jing-hong |
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| Affiliation: | (Department of Software Engineering, Lanzhou Polytechnic College, Lanzhou, Gansu 730050,China) |
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| Abstract: | Using the characteristics of wavelet domain adaptive Wiener filtering and spatial domain adaptive Wiener filtering, this paper presents a combined filtering method based on an adaptive Wiener filtering in wavelet domain and an adaptive Wiener filter in spatial domain.Firstly a pre-denoised image is obtained with the thresholding denoising in wavelet domain and the residual noise variance of that is re-estimated.Then an adaptive Wiener filtering in spatial domain is applied to the reconstructed image to improve the accuracy.Computer simulation results show that,compared with a separate wavelet and spatial domain Wiener filtering,the mean squared error of the proposed method is the smallest and it obtains better denoising results. |
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| Keywords: | wavelet wiener filter adaptive mean squared error |
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