| 基于DCT及高频屏蔽窗的小波图像去噪方法 |
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| 引用本文： | 韩云龙,黄永东,叶重元.基于DCT及高频屏蔽窗的小波图像去噪方法[J].宁夏工程技术,2010,9(1):1-4. |
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| 作者姓名： | 韩云龙 黄永东 叶重元 |
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| 作者单位： | 北方民族大学,信息与计算科学学院,宁夏银川,750021 |
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| 基金项目： | 宁夏高等学校科学技术研究项目(2007JY007) |
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| 摘 要： | 为精确估计噪声方差，提出一种基于离散余弦变换及高频屏蔽窗的去噪方法，利用离散余弦变换（DCT）对小波高频子带进行局部特征提取，在此基础上对由噪声引起的小波系数的幅值进行估计，从原小波系数中屏蔽噪声部分的幅值，并用小波逆变换对剔除噪声分量后的小波系数进行恢复，从而得到去噪后的图像．该方法避开了噪声方差的估计，并在去噪效果和保留细节方面要好于传统的阈值去噪方法．
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| 关 键 词： | 离散余弦变换 小波变换 图像处理 去噪 |
Wavelet image denoising based on DCT and high-frequency shielding windows |
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| HAN Yunlong,HUANG Yongdong,YE Chongyuan.Wavelet image denoising based on DCT and high-frequency shielding windows[J].Ningxia Engineering Technology,2010,9(1):1-4. |
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| Authors: | HAN Yunlong HUANG Yongdong YE Chongyuan |
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| Affiliation: | Institute of Information and System Science/a>;North University for Nationalities/a>;Yinchuan 750021/a>;China |
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| Abstract: | In order to estimate of noise variance accurately,this paper proposes a new kind of method which is based on discrete cosine transform(DCT) and high-frequency shielding windows.First,discrete cosine transform is used to extract local features;and then,it is estimated that the amplitude of the wavelet coefficients which is caused by noise;finally,noise amplitude is subtracted from the original wavelet coefficients and the inverse wavelet transform is performed to obtain the denoised image.The method avoids t... |
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| Keywords: | discrete cosine transform wavelet transform image processing denoising |
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