| 基于平稳Contourlet变换的图像去噪方法 |
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| 引用本文： | 赵庆余.基于平稳Contourlet变换的图像去噪方法[J].数学理论与应用,2007,27(1):71-74. |
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| 作者姓名： | 赵庆余 |
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| 作者单位： | 国防科技大学理学院数学与系统科学系 长沙410073 |
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| 基金项目： | 自然科学基金项目资助（60573027） |
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| 摘 要： | 多尺度几何分析中的Contourlet变换可以实现灵活的多分辨、多方向图像表示,但是由于不具有平移不变性,在图像去噪中容易产生伪吉布斯现象,本文应用具有平移不变性且能有效表示图像纹理信息的平稳Contourlet变换,提出了软硬阈值结合的去噪法.试验结果表明该方法有效提高去噪声后图像的PSNR,有效保存图像纹理信息以及更好的视觉效果.
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| 关 键 词： | 平稳contourlet变换 图像去噪 平移不变性 阈值 |
| 文章编号： | 24259710 |
| 修稿时间： | 09 8 2006 12:00AM |
The Image Denosing Via Stationary Contourlet Transform |
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| Zhao Qingyu.The Image Denosing Via Stationary Contourlet Transform[J].Mathematical Theory and Applications,2007,27(1):71-74. |
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| Authors: | Zhao Qingyu |
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| Institution: | National University of Defense Technology,Changsha, 410073 |
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| Abstract: | Contourlet transform(CT) is a method of multiscale geometric analysis,which can result in a flexible multri-resolution,local,and directional image expansion.But the Controulet transform is not shift-ubvaruabt,that will cause pseudo-Gibbs phenomena around singularities in image denoising.In this paper we apply stationary contourlet transform with shift-invariant to image denosing,which can capture the intrinsic geometrical structure of image.In the test o Image denoising we apply the modified desosing method by threshold.The experimental results show that our method can get higher PSNR value and better visual effect compared with other methods. |
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| Keywords: | stationary contourlet transform image denoising shift-invariant threshold |
| 本文献已被 CNKI 维普 等数据库收录！ |
