| 引用本文: | 涂丹,沈建军,沈振康.小波阈值技术在图像降噪中的应用研究.[J].国防科技大学学报,1999,21(2):42-45.[点击复制] |
| Tu Dan,Shen Jianjun,Shen Zhenkang.The Application of Wavelet Thresholding Method in Image De-Noise[J].Journal of National University of Defense Technology,1999,21(2):42-45[点击复制] |
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| 小波阈值技术在图像降噪中的应用研究 |
| 涂丹, 沈建军, 沈振康 |
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(国防科技大学 电子技术系 湖南 长沙 410073)
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| 摘要: |
| 通过对图像的小波变换系数进行阈值操作, 可以有效降低噪声, 同时又较好地保持图像细节。在文章中详细讨论了这种小波阈值降噪技术, 并给出了在此种降噪方法中阈值选取的几种方法。由实验结果可以知道此种小波阈值方法是一种有效的图像降噪方法。 |
| 关键词: 小波变换, 阈值操作, 图像降噪, 图像细节 |
| DOI： |
| 投稿日期：1998-10-03 |
| 基金项目: |
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| The Application of Wavelet Thresholding Method in Image De-Noise |
| Tu Dan, Shen Jianjun, Shen Zhenkang |
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(Department of Electronic Technology, NUDT, Changsha, 410073)
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| Abstract: |
| In this paper, the application of wavelet transform in image de-noise is studied. Via thresholding operation in wavelet domain of image, it can reduce noise effectively, and at the same time, with a little loss of image detail. Detail discussion of this wavelet thresholding method is presented in this paper, and some methods of threshold selection are also given. It has been proved that the wavelet thresholding technology is an effective method for image de-noise. |
| Keywords: wavelet transform, thresholding, image de-noise, image detail |
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