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| 一种改进的图像组合滤波方法 | |
| 引用本文： | 侯建华,田金文,柳健.一种改进的图像组合滤波方法[J].光子学报,2005,34(11):1748-1751. |
| 作者姓名： | 侯建华 田金文 柳健 |
| 作者单位： | 华中科技大学图象识别与人工智能研究所,图象信息处理与智能控制教育部重点实验室,武汉,430074;中南民族大学电子信息工程学院,武汉,430074;华中科技大学图象识别与人工智能研究所,图象信息处理与智能控制教育部重点实验室,武汉,430074 |
| 基金项目： | 国家“十五”高技术研究发展计划重点资助项目（2002A A133010）. |
| 摘 要： | 利用小波阈值去噪和Wiener滤波的特点，在文献［7］的基础上提出了一种改进的组合滤波方法，在进行空域自适应滤波之前，先对经BayesShrink处理过的预去噪图像重新估计其噪声方差，通过数值计算给出了该噪声方差的一种近似最优估计公式.实验结果表明该方法在去噪图像的均方误差和对不同图像的适应性方面都得到了改善. |
| 关 键 词： | 小波阈值去噪 BayesShrink 空域自适应滤波 预去噪图像 噪声方差 |
| 收稿时间： | 2005-03-28 |
| 修稿时间： | 2005年3月28日 |
An Improved Joint Scheme for Image Denoising |
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| Hou Jianhua,Tian Jinwen,Liu Jian.An Improved Joint Scheme for Image Denoising[J].Acta Photonica Sinica,2005,34(11):1748-1751. | |
| Authors: | Hou Jianhua Tian Jinwen Liu Jian |
| Institution: | (1 Institute of Pattern Recognition & Artificial Intelligence,Huazhong University of Science & Technology, Laboratory for State Key Image Processing & Intelligence Control,Wuhan 430074) (2 College of Electronic Information Engineering,South-Central University for Nationalities,Wuhan 430074) |
| Abstract: | On the basis of the combined method presented in Reference7],an improvement was implemented by exploiting the characteristics of both wavelet thresholding denoising and spatial Wiener filtering.After BayesShrink thresholding denoising in wavelet domain to obtain a pre-denoised image,the noise variance was estimated for the following Lee filtering.The optimal noise variance estimation for Lee filter was given by numerical computation.Experiment results show the improvement of the proposed approach in terms of MSE,signal-to-noise ratio (SNR),as well as adaptability to different images. |
| Keywords: | Wavelet thresholding denoising BayesShrink Spatially adaptive filtering Pre-denoised image Noise variance |
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