| 基于二进脊波变换的图像去噪 |
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| 引用本文： | 黄建平,王卫卫,宋国乡.基于二进脊波变换的图像去噪[J].计算机工程与应用,2006,42(5):69-70,79. |
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| 作者姓名： | 黄建平 王卫卫 宋国乡 |
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| 作者单位： | 1. 西安电子科技大学理学院,西安,710071;台州学院数学系,浙江,台州,317000
2. 西安电子科技大学理学院,西安,710071 |
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| 摘 要： | 二进小波变换在每次分解时不进行下采样,与小波级数相比,它是冗余的,且二进小波变换的部分系数扰动不会带来重构信号的严重失真。在相同的误判概率下,基于二进小波变换的信号去噪效果会好于基于小波级数变换的信号去噪效果。基于这个思想,该文提出了一种基于二进脊波变换的图像去噪算法。实验结果证明,与小波级数相比,该算法具有更好的去噪效果。
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| 关 键 词： | 图像去噪 二进小波变换 二进脊波变换 Radon变换 |
| 文章编号： | 1002-8331-（2006）05-0069-02 |
| 收稿时间： | 2005-05 |
| 修稿时间： | 2005-05 |
Image Denoising Based on Dyadic Ridgelet Transform |
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| Huang Jianping,Wang Weiwe,Song Guoxiang.Image Denoising Based on Dyadic Ridgelet Transform[J].Computer Engineering and Applications,2006,42(5):69-70,79. |
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| Authors: | Huang Jianping Wang Weiwe Song Guoxiang |
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| Abstract: | Since downsampling does not take place in signal dyadic wavelet transform at each level,signal representation in dyadic wavelet domain compared with wavelet series reconstruction is very redundant and part of disturbance of signal dyadic wavelet coefficients in transform domain will not lead to serious distortion.Therefore,with the same error decision probability,the better reconstruction can be expected.Based on this idea,a new method for image denoising is proposed.The experiments show this method gets better effect than wavelet series. |
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| Keywords: | image denoising dyadic wavelet transform dyadic ridgelet transform Radon transform |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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