| 基于提升格式小波包变换的SAR影像去噪(英文) |
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| 作者单位： | School of Mathematic，Wuhan University，Luojia Hill |
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| 基金项目： | Supported by the National Natural Science Foundation of China （No.70371032）. |
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| 摘 要： | According to the different characteristics that signal and noise exhibit during 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. Experiments show that the proposed algorithm has excellent performance in denoising SAR images, and can remove most noise of images with well-kept texture detail information. The calculating speed of the method is twice the speed of the general wavelet packet transform algorithm.
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| 关 键 词： | 格式小波包 变换 SAR影像 去噪方法 |
Denoising of SAR images based on lifting scheme wavelet packet transform |
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| Authors: | Wenbo Wang Xuming Yi Pusheng Fei |
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| Institution: | (1) School of Mathematic, Wuhan University, Luojia Hill, Wuhan, 430072, China |
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| Abstract: | According to the different characteristics that signal and noise exhibit during wavelet decomposition, a new denoising method based on the lifting scheme wavelet packet decomposition is presented. In this method, the SAR images are decom- posed 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. Experiments show that the proposed algorithm has excellent performance in denoising SAR images, and can remove most noise of images with well-kept texture detail informa- tion. 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 |
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