| 小波阈值去噪在图像去噪中的应用 |
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| 引用本文： | 李杏梅,陈亮.小波阈值去噪在图像去噪中的应用[J].现代计算机,2006(10):78-80. |
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| 作者姓名： | 李杏梅 陈亮 |
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| 作者单位： | 中国地质大学信息工程学院,武汉430074 |
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| 摘 要： | 小波阈值去噪分为硬阈值去噪和软阈值去噪,它们的去噪思想都是在小波分解后的各层系数中,对模大于和小于某个阈值的系数分别进行处理.本文主要针对图像去噪,将一幅图像分别进行软和硬阈值去噪的方法进行比较,得出无论阈值门限设为何值,软阈值的去噪效果总是比硬阈值的去噪效果好这个结论.
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| 关 键 词： | 去噪 阈值 小波 |
| 收稿时间： | 2006-06-30 |
| 修稿时间： | 2006-06-30 |
The Wavelet Threshold Deleting Noise Method in Image Nosie Deletion |
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| LI Xing-mei,CHEN Liang.The Wavelet Threshold Deleting Noise Method in Image Nosie Deletion[J].Modem Computer,2006(10):78-80. |
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| Authors: | LI Xing-mei CHEN Liang |
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| Affiliation: | Faculty of Information Engineering, China University of Geosciences, Wuhan 430074 China |
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| Abstract: | The method of threshold in deleting noise has two kinds of ways. One of them is hard one and the other is soft. The main idea is based on the processing method of the wavelet coefficients. The coefficients may be around the threshold, that is, some is more and some is less, and the processing method is according to the coefficients. The article is aimed at deleting noise in image, and it deletes the noise in the same image with both threshold methods. The results show that with whatever threshold value, the soft method has better processed image. |
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| Keywords: | Deleting Noise Threshold Wavelet |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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