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| 一种基于非下采样Contourlet变换的自适应阈值去噪方法 | |
| 引用本文： | 黄宇达,魏霞,王迤冉,孙涛.一种基于非下采样Contourlet变换的自适应阈值去噪方法[J].计算机与数字工程,2012,40(5):111-113,151. |
| 作者姓名： | 黄宇达 魏霞 王迤冉 孙涛 |
| 作者单位： | 1. 西南科技大学计算机科学与技术学院 绵阳621010;周口职业技术学院信息工程系 周口466000 2. 周口职业技术学院信息工程系 周口466000 3. 周口师范学院计算机科学与技术学院 周口466001 4. 西南科技大学计算机科学与技术学院 绵阳621010 |
| 基金项目： | 河南省科技厅基础与前沿技术研究计划项目 |
| 摘 要： | 文章提出了一种基于非下采样Contourlet变换的自适应图像去噪方法。首先对噪声图像进行非下采样Contourlet变换，得到各个尺度各个方向子带的系数，再根据该系数的能量自适应地调整Bayes去噪阈值。实验结果表明：与小波阈值去噪方法对比，非下采样Contourlet自适应阈值去噪算法在保留图像边缘细节的同时，不仅能明显提高图像的SNR值，而且还减少了Gibbs现象。 |
| 关 键 词： | 非下采样 Contourlet变换 阈值去噪 Bayes |
An Adaptive Threshold Denoising Method Based on Non-Sampled Contourlet Transform |
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| HUANG Yuda , WEI Xia , WANG Yiran , SUN Tao.An Adaptive Threshold Denoising Method Based on Non-Sampled Contourlet Transform[J].Computer and Digital Engineering,2012,40(5):111-113,151. | |
| Authors: | HUANG Yuda WEI Xia WANG Yiran SUN Tao |
| Affiliation: | 1(1.Southwest University of Science and Technology,College of Computer Science and Technology,Mianyang 621010)(2.ZhouKou Vocational and Technical College,Information and Engineering Department,Zhoukou 466000)(3.Zhoukou Normal University,College of Computer Science and Technology,Zhoukou 466001) |
| Abstract: | This paper presents an adaptive image de-noising method based on non-subsampled Contourlet Transform.First,using non-subsampled Contourlet transform process the noise-image,the coefficient of each scale subbands could be sotten.Then Bayesian de-noising threshold value adaptively adjusted according to the coefficient of energy in order to achieve optimal denoising.Experiment results show that: Compared with the wavelet threshold denoising,non-subsampled Contourlet adaptive threshold denoising algorithm while preserving image edge details,not only can significantly improve the image SNR values,but also to reduce the Gibbs phenomenon. |
| Keywords: | non-subsampled Contourlet transform threshold denoising Bayes |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |