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| 基于NSCT子带自适应Bayes阈值图像去噪方法 | |
| 引用本文： | 欧阳洪波,全惠敏,唐渊,曾业战.基于NSCT子带自适应Bayes阈值图像去噪方法[J].电子设计工程,2011,19(23):185-188. |
| 作者姓名： | 欧阳洪波 全惠敏 唐渊 曾业战 |
| 作者单位： | 1. 湖南大学电气与信息工程学院,湖南长沙,410082 2. 湖南工业大学电气与信息工程学院,湖南株洲,412007 3. 湖南理工学院物理与电子学院,湖南岳阳,414000 |
| 摘 要： | 利用非下采样Contourlet变换（NSCT）平移不变性、多分辨率、多方向的优点，提出了一种基于非下采样Contourlet变换的子带自适应Bayes阈值图像去噪算法。该算法将源图像分解至NSCT变换域．能根据不同尺度、不同方向的子带能量，自适应调整去噪阈值。实验表明，与Contourlet多尺度阈值去噪、Conto... |
| 关 键 词： | 图像去噪 非下采样Contourlet变换 Bayes阈值 |
Image de-noising algorithm using adaptive Bayes threshold by subband based on NSCT |
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| Abstract: | Utilizing the nonsubsampled contourlet transform＇s （NSCT） advantages of translation invariance,multi-resolution, multidirection, a image de-noising algorithm using adaptive bayes threshold by subband based on nonsubsampled contourlet transform is presented. Source images are decomposed to the domain of the NSCT, and can adjust denosing threshold adaptively according to different scales and directions of sub-band energy. Comparing with the multi-scale threshold using contourlet transform and using adaptive threshold based on contourlet transform, the simulation results show that the performance of this method is superior in Visual effects and PSNR. |
| Keywords: | image de-noising nonsubsampled Contourlet transform Bayes threshold |
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