| 基于加权自适应方向提升小波的图像去噪研究 |
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| 引用本文： | 刘权,林娜,吕倩.基于加权自适应方向提升小波的图像去噪研究[J].电子技术,2010,37(12):4-7. |
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| 作者姓名： | 刘权 林娜 吕倩 |
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| 作者单位： | 中国科学技术大学电子工程与科学系 |
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| 摘 要： | 本文介绍了一种基于加权自适应方向提升小波(WADL,Weighted adaptive directional lifting)和普通提升方法相结合的图像去噪方法,此方法能够较好地对噪声进行抑制,同时保护图像的纹理边缘较少受到损失。在仿真试验中我们通过对噪声图像进行分类,对属于纹理密集区域采用WADL方法去噪,对平滑区域采用普通提升去噪,得到了比较好的去噪结果。
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| 关 键 词： | 加权自适应方向提升 图像去噪 小波变换 阈值 |
Image Denoising Based on Weighted Adaptive Directional Lifting Wavelet Transform |
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| Liu Quan,Lin Na,Lu Qian.Image Denoising Based on Weighted Adaptive Directional Lifting Wavelet Transform[J].Electronic Technology,2010,37(12):4-7. |
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| Authors: | Liu Quan Lin Na Lu Qian |
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| Affiliation: | Liu Quan Lin Na Lu Qian(Dept.of Electronic Engineering and Science,University of Science and Technology of China) |
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| Abstract: | This paper introduces an image denoising method based on weighted adaptive directional lifting wavelet transform(WADL) combined with normal lifting wavelet transform.This method can suppress noise from image signal and protect the texture edge from loss simultaneously.In simulation,we partition the noisy image into texture area and smooth area,then we use WADL to denoise in the texture area and normal lifting to denoising in the smooth area,respectively,the results show a good performance of the method. |
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| Keywords: | weighted adaptive directional lifting image denoising wavelet transform threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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