| 图像小波域维纳滤波去噪算法的改进 |
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| 引用本文： | 严勇,陈钟荣.图像小波域维纳滤波去噪算法的改进[J].南京气象学院学报,2005,28(5):685-689. |
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| 作者姓名： | 严勇 陈钟荣 |
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| 作者单位： | 南京信息工程大学电子工程系,江苏南京210044 |
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| 基金项目： | 国家自然科学基金资助项目（40275010） |
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| 摘 要： | 介绍了小波变换和维纳滤波相结合的图像小波域维纳滤波去噪算法，在分析该算法最小均方误差期望的基础上提出一种改进算法。指出在进行维纳滤波之前，阈值化处理可以有效提高维纳滤波的性能。用标准测试图像的处理结果来比较改进前后两种算法的效果。
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| 关 键 词： | 图像去噪 小波 维纳滤波 阈值化 |
| 文章编号： | 1000-2022（2005）05-0685-05 |
| 收稿时间： | 09 28 2004 12:00AM |
| 修稿时间： | 2004-09-282004-11-04 |
The Improvement of Wavelet Domain Image Denoising Algorithm by Wiener Filtering |
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| Yan Yong;Chen ZhongRong.The Improvement of Wavelet Domain Image Denoising Algorithm by Wiener Filtering[J].Journal of Nanjing Institute of Meteorology,2005,28(5):685-689. |
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| Authors: | Yan Yong;Chen ZhongRong |
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| Abstract: | The wavelet domain image denosing algorithm combining wavelet transform with Wiener filtering is first introduced in this paper.Based on the approximate analysis of its least mean square error(LMSE) expectation(E_(LMSE)),an improved algorithm is proposed.It is pointed out that a thresholding operation before Wiener filtering can effectively improve the performance of Wiener filtering.The denoising effect of original and improved algorithms is also compared using processing results of a standard test image. |
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| Keywords: | image denosing wavelet Wiener filtering thresholding |
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