| 基于小波变换的MR图像的去噪处理 |
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| 引用本文： | 叶华俊,刘华锋,鲍超. 基于小波变换的MR图像的去噪处理[J]. 光电工程, 2003, 30(1): 66-69 |
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| 作者姓名： | 叶华俊 刘华锋 鲍超 |
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| 作者单位： | 浙江大学现代光学仪器国家重点实验室,浙江,杭州,310027 |
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| 基金项目： | 浙江省自然科学基金项目(33600099) |
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| 摘 要： | 根据小波变换多尺度下图像信号与噪声不同性质的理论,提出了一种新的MR图像去噪处理 算法,这种算法直接比较相邻小波域的系数,根据比较结果设立滤波器去除噪声。计算机模拟结果表明:这种算法的速度快,能去除渗噪图91%的噪声,图像的信噪比从3.1861提高到了13.4784。
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| 关 键 词： | 磁共振成像 小波变换 信噪比 图像处理 |
| 文章编号： | 1003-501X(2003)01-0066-04 |
| 收稿时间： | 2001-11-16 |
| 修稿时间： | 2001-11-16 |
Eliminating Noise of MR Image with Wavelet Transform |
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| YE Hua-jun,LIU Hua-feng,BAO Chao. Eliminating Noise of MR Image with Wavelet Transform[J]. Opto-Electronic Engineering, 2003, 30(1): 66-69 |
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| Authors: | YE Hua-jun LIU Hua-feng BAO Chao |
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| Abstract: | A new noise-eliminating processing algorithm for Magnetic Resonance (MR) image is proposed according to the different properties of image signal and noise under the multi-scale wavelet transform. This algorithm directly compares the coefficients of the adjacent wavelet domains and a filter is established for eliminating noise according to the comparison results. The computer simulation results show this algorithm has a fast operating speed and 91% noise can be eliminated. The signal-to-noise- ratio is improved from 3.1861 to 13.4784. |
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| Keywords: | Magnetic resonance imaging Wavelet transform Signal-to-noise-ratio Image processing |
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