| 基于小波变换的4种图像噪声滤波方法比较 |
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| 引用本文： | 苏曦,孙杰,张智玲,金辉. 基于小波变换的4种图像噪声滤波方法比较[J]. 天津理工大学学报, 2007, 23(3): 35-37,75 |
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| 作者姓名： | 苏曦 孙杰 张智玲 金辉 |
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| 作者单位： | 天津理工大学,电子信息与通信工程学院,天津,300191 |
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| 基金项目： | 天津市科委重大攻关资助基金;天津市教委资助项目 |
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| 摘 要： | 利用小波变换方法进行图像噪声滤波是使用小波分析理论进行图像处理应用的一个重要内容.本文以MATLAB为平台,给出了最常用的4种基于小波变换的图像噪声滤波方法并进行了仿真效果比较,同时,针对模极大值滤波方法实现时的烦琐和速度慢问题,提出了中值滤波和模极大值滤波相结合的算法改进,简化了运算,提高了运算速度并保证了滤波质量.试验得出小波域尺度相关性和改进后的小波系数模极大值法效果最理想.同时对小波变换方法的进一步改进与完善具有实用意义.
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| 关 键 词： | 小波变换 图像噪声 Mallat算法 阈值滤波 模极大值 小波域尺度相关性 |
| 文章编号： | 1673-095X（2007）03-0035-03 |
| 收稿时间： | 2006-07-17 |
| 修稿时间： | 2006-07-17 |
Comparison of four wavelet transforming methods of image noise filtering |
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| SU Xi,SUN Jie,ZHANG Zhi-ling,JIN Hui. Comparison of four wavelet transforming methods of image noise filtering[J]. Journal of Tianjin University of Technology, 2007, 23(3): 35-37,75 |
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| Authors: | SU Xi SUN Jie ZHANG Zhi-ling JIN Hui |
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| Affiliation: | School of Electronics Information and Communications Engineering, Tianjin University of Technology, Tianjin 300191, China |
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| Abstract: | Using wavelet to filtering noises on image is an important application of wavelet analysis in image processing.The principle of four classical wavelet methods are described in this paper,and also the comparing them with implemented on the platform of MATLAB.Put forward an improvement of modulus maximum method to make operation easier and faster and make sure the quality of filtered image.And experimental results show that the methods of modulus maximum and scale relativity are better at filtering noises.The results given here is very useful for improvement and consummate of the wavelet. |
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| Keywords: | wavelet transforming noises on image Mallat algorithm threshold filtering modulus maximum scale relativity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
