| 基于双局部阈值小波收缩的图像去噪算法 |
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| 引用本文： | 刘 洪,刘宇红.基于双局部阈值小波收缩的图像去噪算法[J].计算机工程与应用,2007,43(33):63-65. |
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| 作者姓名： | 刘 洪 刘宇红 |
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| 作者单位： | 贵州大学,电子科学与信息技术学院,贵阳,550025;贵州大学,电子科学与信息技术学院,贵阳,550025 |
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| 摘 要： | 提出了一种基于双局部阈值的小波收缩的图像去噪算法。该算法利用小波系数的幅值、空间特性以及对噪声图像的分割,得到两个局部阈值：幅度阈值和空间阈值。利用这两个局部阈值（每个区域阈值不同）对小波系数做相应的“收缩”处理和重构,从而得到一个优质的去噪图像。该算法计算简单速度快,去噪效果明显,优于其他一些去噪算法。
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| 关 键 词： | 图像去噪 小波收缩 双局部阈值 二维离散平稳小波变换 |
| 文章编号： | 1002-8331(2007)33-0063-03 |
| 修稿时间： | 2007年5月1日 |
Wavelet shrinkage algorithm for image denoising based on two-local threshold |
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| LIU Hong,LIU Yu-hong.Wavelet shrinkage algorithm for image denoising based on two-local threshold[J].Computer Engineering and Applications,2007,43(33):63-65. |
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| Authors: | LIU Hong LIU Yu-hong |
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| Affiliation: | College of Electronics and Information Technology,Guizhou University,Guiyang 550025,China |
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| Abstract: | This paper presents a wavelet shrinkage algorithm for image denoising based on two-local threshold.This algorithm presents two-local threshold based on the wavelet coefficients'magnitude,spatial regularity,and the segment of the denoised image.Shrinking and reconstructing the wavelet coefficients using the two-local threshold,and we can get a high quality image.The algorithm has some advantages such as low complexity,fast speed computation,high quality image denoising.The performance of the method is an improvement upon some other methods in the literature. |
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| Keywords: | image denoising wavelet shrinkage two-local threshold 2-D discrete stationary wavelet transform |
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