| 基于提升格式小波包变换的SAR图像去噪 |
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| 引用本文： | 王文波,费浦生,羿旭明,张建国.基于提升格式小波包变换的SAR图像去噪[J].武汉大学学报(信息科学版),2007,32(7):585-588. |
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| 作者姓名： | 王文波 费浦生 羿旭明 张建国 |
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| 作者单位： | 1. 武汉大学数学与统计学院,武汉市珞珈山,430072
2. 军事经济学院数理系,武汉市罗家墩122号,430035 |
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| 基金项目： | 国家自然科学基金;高等学校博士学科点专项科研项目 |
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| 摘 要： | 基于信号和噪声在提升格式小波分解中呈现出的不同特性，提出了一种新的小波包去噪算法。该算法采用提升格式小波对SAR图像进行最优小波包分解，并计算每个子频带的能量范数，然后根据软阈值法和能量范数区分信号和噪声，达到去除噪声的目的。试验结果表明，该算法对SAR图像具有较好的去噪效果，不仅可以去除图像中的大部分噪声，而且可以较好地保留图像纹理的细节信息。与传统小波包算法相比，其计算速度快了一倍左右。
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| 关 键 词： | 提升格式 小波包分解 SAR图像 图像去噪 |
| 文章编号： | 1671-8860（2007）07-0585-04 |
| 修稿时间： | 2007-04-29 |
Denoising of SAR Images Based on Lifting Scheme Wavelet Packet Transform |
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| WANG Wenbo,FEI Pusheng,YI Xuming,ZHANG Jianguo.Denoising of SAR Images Based on Lifting Scheme Wavelet Packet Transform[J].Geomatics and Information Science of Wuhan University,2007,32(7):585-588. |
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| Authors: | WANG Wenbo FEI Pusheng YI Xuming ZHANG Jianguo |
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| Institution: | 1 School of Mathematics and Statistics, Wuhan University, Luojia Hill, Wuhan 430072, China;2 Mathematics and Physics, College Military, 122 Luojiadun, Wuhan 430035, China |
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| Abstract: | According to the different characteristics that signal and noise exhibit during the wavelet decomposition, a new denoising method based on the lifting scheme wavelet packet decomposition is presented. In this method, the SAR images are decomposed by using the best wavelet packet and the norm of each sub-band are calculated, signals and noise can be discriminated based on the norm and soft-threshold method, and the images can be denoised. Experimental shows that the proposed algorithm is of excellent performance in denoising SAR images, and can remove most noise of images with well-kept texture details information. The calculating speed of the method is twice the speed of the general wavelet packet transform algorithm. |
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| Keywords: | lifting scheme wavelet packet decomposition SAR image image denoising |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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