| 基于小波变换和偏微分方程的图像去噪方法 |
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| 引用本文： | 刘晨华,颜兵.基于小波变换和偏微分方程的图像去噪方法[J].山东理工大学学报,2007,21(3):94-96,100. |
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| 作者姓名： | 刘晨华 颜兵 |
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| 作者单位： | 太原科技大学应用科学学院，西安电子科技大学理学院 山西太原030024，西安电子科技大学理学院，陕西西安710071，陕西西安710071 |
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| 摘 要： | 应用小波变换去除图像噪声时虽然能保持图像的细节信息,但是图像的边缘信息被平滑了.使用偏微分方程对图像去噪,并与使用小波变换去除图像噪声后效果进行比较,实验结果表明:使用偏微分方程对图像去噪在平滑噪声的同时可以使边缘得到保持.应用偏微分方程进行图像去噪是一种有效的工具.
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| 关 键 词： | 小波变换 偏微分方程 图像去噪 |
| 文章编号： | 1672-6197（2007）05-0094-03 |
| 修稿时间： | 2006-12-22 |
Method for image noise removal based on PDEs and wavelet transform |
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| LIU Chen-hua,YAN Bing.Method for image noise removal based on PDEs and wavelet transform[J].Journal of Shandong University of Technology:Science and Technology,2007,21(3):94-96,100. |
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| Authors: | LIU Chen-hua YAN Bing |
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| Abstract: | By means of wavelet transform,the image detail information can be preserved while image noise being removed,but image edge information can also been smoothed.Partial differential equation was adopted to remove image noise,and the image noise removal effects were then compared with that of wavelet transform.The experimental results show that image noise removal by PDEs model can smooth noise and preserve edge.Image noise removal by PDEs model is an effective tool. |
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| Keywords: | wavelet transform partial differential equation image noise removal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
