| 辐射图像的自适应小波降噪方法 |
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| 引用本文： | 张国伟,张丽,陈志强,高文焕. 辐射图像的自适应小波降噪方法[J]. 中国体视学与图像分析, 2004, 9(2): 104-108 |
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| 作者姓名： | 张国伟 张丽 陈志强 高文焕 |
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| 作者单位： | 清华大学工程物理系,北京100084 |
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| 基金项目： | 国家自然科学基金资助项目 1990 - 1- 1,(10 135 0 4 0 ) |
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| 摘 要： | 小波降噪中阈值选取是一个影响图像质量的关键问题。本文提出了一种对辐射图像进行降噪的自适应小波方法 ,对小波分解的子带系数进行自适应阈值处理 ,并采用了小波模极大跟踪技术 ,把小波系数分为信号和噪声两部分 ,分别采取不同的阈值。这种方法可以最大限度的保存图像细节 ,同时也有效的去除噪声。
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| 关 键 词： | 小波变换 自适应 阈值 模极大 |
| 文章编号： | 1007-1482(2004)01-0104-05 |
| 修稿时间： | 2004-03-09 |
Adaptive Wavelet Thresholding for Radiation Image Denoising |
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| ZHANG Guo-wei,ZHANG Li,CHEN Zhi-qiang,GAO Wen-huan. Adaptive Wavelet Thresholding for Radiation Image Denoising[J]. Chinese Journal of Stereology and Image Analysis, 2004, 9(2): 104-108 |
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| Authors: | ZHANG Guo-wei ZHANG Li CHEN Zhi-qiang GAO Wen-huan |
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| Abstract: | Threshold choosing is a key problem in wavelet denoising and has a great effect on the image. An adaptive wavelet thresholding method for radiation image denoising is presented, in which subband coefficients are thresholded adaptively. Wavelet module maximums are traced across scales in order to classify the coefficients into noise and signal. And then respective thresholds are adopted according to the classification. Experiments show that the details in the image are preserved, and the noises are removed effectively. |
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| Keywords: | Wavelet Transform Adaptive Threshold Modulus Maximum |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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