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| M带小波变换在图像去噪中的应用 | |
| 引用本文： | 侯景华,权春娟,马晓军.M带小波变换在图像去噪中的应用[J].甘肃科学学报,2008,20(4). |
| 作者姓名： | 侯景华 权春娟 马晓军 |
| 作者单位： | 1. 中国酒泉卫星发射中心,甘肃,酒泉,732750;兰州大学,信息科学与工程学院,甘肃,兰州,730000 2. 中国酒泉卫星发射中心,甘肃,酒泉,732750 3. 兰州大学,信息科学与工程学院,甘肃,兰州,730000 |
| 摘 要： | 基于小波的图像去噪算法是目前图像去噪研究领域的一个热点.采用Normal Shrink进行阈值估计,提出了一种基于M带小波变换的图像去噪方法,实验结果表明:此方法的去噪效果优于维纳滤波和两带小波. |
| 关 键 词： | M带小波变换 软阈值 图像去噪 |
The Application of M-band Wavelet Transform in Image Denoising |
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| HOU Jing-hua,QUAN Chun-juan,MA Xiao-jun.The Application of M-band Wavelet Transform in Image Denoising[J].Journal of Gansu Sciences,2008,20(4). | |
| Authors: | HOU Jing-hua QUAN Chun-juan MA Xiao-jun |
| Institution: | 1.China Jiuquan Satellite Center;Jiuquan 732750;China;2.School of Informational Science and Engineering;Lanzhou University;Lanzhou 730000;China |
| Abstract: | Wavelet-based image denoising algorithms are of great interest in the study of image denoising..The Normal Shrink threshold estimation method is used.A new image denoising algorithm is proposed on the basis of M-band wavelet transform.The experimental results show that its denoising performance is better than that of the Wiener filter and two-band wavelet. |
| Keywords: | M-band wavelet transform soft thresholding image denoising |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |