| 基于贝叶斯估计的平稳小波去噪 |
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| 引用本文： | 潘金凤,王军,贾凌.基于贝叶斯估计的平稳小波去噪[J].山东理工大学学报,2009,23(1). |
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| 作者姓名： | 潘金凤 王军 贾凌 |
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| 作者单位： | 山东理工大学电气与电子工程学院 山东理工大学计算机科学与技术学院 |
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| 摘 要： | 提出了一种基础平稳小波变换的图像自适应去噪方法.以Laplace分布作为图像平稳小波系数的分布模型,利用贝叶斯最大后验估计原始图像的小波系数达到去噪的目的.实验结果表明,用该方法去噪能得到较高的峰值信噪比和较好的视觉效果.
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| 关 键 词： | 平稳小波 贝叶斯估计 Laplace模型 相关性 |
Stationary wavelet denoising based on bayesian estimation |
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| Pan Jin-feng,Wang Jun,Jia Ling.Stationary wavelet denoising based on bayesian estimation[J].Journal of Shandong University of Technology:Science and Technology,2009,23(1). |
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| Authors: | Pan Jin-feng Wang Jun Jia Ling |
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| Institution: | 1.School of Electric and Electronic Engineering;Shandong University of Technology;Zibo 255049;China;2.School of Computer Science and Technology;China |
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| Abstract: | Laplacian density function is used as the image's stationary wavelet coefficients' distribution,and bayesian maximum posterior estimation is used to image denoising.Experimental results show that the method used in this paper improves the peak signal to noise ratio of the denoised image. |
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| Keywords: | stationary wavelet bayesian estimation laplacian distribution correlation |
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