| 一种基于双Haar小波的图像去噪算法 |
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| 引用本文： | 贺长伟,王欣.一种基于双Haar小波的图像去噪算法[J].山东工业大学学报,2007,37(4):77-80. |
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| 作者姓名： | 贺长伟 王欣 |
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| 作者单位： | 山东大学信息科学与工程学院,山东济南250100 |
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| 基金项目： | 山东省自然科学基金重点项目（Z2005G02） |
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| 摘 要： | 在小波域实现信号噪声的滤除是近年来图像处理领域中的研究热点,尤其是三通道双Haar小波的提出,使噪声抑制更加有效.基于双Haar小波变换,并根据Lee滤波的局部统计特性,考虑到小波变换的高频部分涵盖大量的图像边缘等细节信息,因此在滤波窗口选择上提出了具有方向性的新算法,实现了在小波域中平滑噪声的同时还可以保护图像边缘细节不受损失.实验表明新窗口的模型与Donoho的软门限方法相比较,可以给出更好的去噪效果.
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| 关 键 词： | 双Haar小波 Lee滤波 图像去噪 |
| 文章编号： | 1672-3961（2007）04-0077-04 |
| 修稿时间： | 2006-12-08 |
Image denoising based on the double-Haar wavelet |
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| HE Chang-wei,.Image denoising based on the double-Haar wavelet[J].Journal of Shandong University of Technology,2007,37(4):77-80. |
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| Authors: | HE Chang-wei |
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| Affiliation: | College of Information Science and Engineering, WANG Xin Shandong University, Jinan 250100, China |
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| Abstract: | To realize image denoising in the wavelet domain is a lively research field in signal processing . The double Haar wavelet proposed recently can make image denoising more efficient. Based on the double Haar wavelet transformation, an improved method is proposed to realize the noise smoothing and the details protec- tion in review of the partial statistic features of the Lee filter and high frequency containing many edges and de- tails of the image . Experimental results show that the proposed algorithm can produce better denoising results than the soft thresholding proposed by Donoho. |
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| Keywords: | double Haar wavelet Lee filter image denoising |
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