| 过抽样M通道小波星图去噪方法研究 |
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| 引用本文： | 马林立,孙尧. 过抽样M通道小波星图去噪方法研究[J]. 数学的实践与认识, 2005, 35(10): 109-113 |
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| 作者姓名： | 马林立 孙尧 |
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| 作者单位： | 1. 哈尔滨工程大学自动化学院,黑龙江,哈尔滨,150001;海军潜艇学院,山东,青岛,266071
2. 哈尔滨工程大学自动化学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 小波图像去噪已经成为目前图像去噪的主要方法之一,在分析了小波变换的基本理论和小波变换的多尺度分析基础上,根据多尺度小波变换的多分辨特性,提出了过抽样M通道小波变换去噪方法,并将此方法用于星图降噪处理中,收到良好的效果.
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| 关 键 词： | 多尺度分析 图像降噪 M通道过抽样 |
| 修稿时间： | 2004-06-20 |
Research of The Star-image Denoising Based Over-sampling M-channel Wavelet transforms |
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| MA Lin-li,SUN Yao. Research of The Star-image Denoising Based Over-sampling M-channel Wavelet transforms[J]. Mathematics in Practice and Theory, 2005, 35(10): 109-113 |
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| Authors: | MA Lin-li SUN Yao |
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| Abstract: | Wavelet image denoising has been well acknowledged as an important method of image denoising.The basic theory and the multi-scaling of the wavelet transform are analysed in this paper.According to the characteristics of the multi-scaling analysis,the method of over-sampling M-channels based on the multi-scaling of the wavelet transforms is presented. |
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| Keywords: | multi-scaling analysis image denoising M-channels over-sampling |
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