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基于正态反高斯先验模型的小波去噪算法 被引量：1

Research of Wavelet-Based Image Denoising with the Normal Inverse Gaussian Prior
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摘要 提出了一种基于正态反高斯先验模型(NIG)的小波去噪算法.将小波系数建模为正态反高斯分布,利用矩估计法计算每个子带内的模型参数;在贝叶斯最大后验概率估计(MAP)准则下推导出与NIG模型相对应的阈值函数表达式,以此对图像进行去噪处理.实验结果表明:该算法与经典的阈值去噪算法相比,具有更好的信噪比和视觉效果. A wavelet denoising method based on the normal inverse Gaussian prior （NIG） has been proposed in this paper. The statistics of wavelet coefficients are described by NIG model, and the model parameteres are obtained by utilizing the moment estimator. Under the rule of Bayesian maximum a posteriori （MAP）, shrink thresholding function is deduced, which is applied to image noise reduction. Experimental results demonstrate that compared with the classical algorithms, the proposed denoising method has significantly increased peak signal-to- noise ratio （PSNR） and improved the quality of subjective visual effect.
作者 侯建华 毛晓晖
机构地区 中南民族大学电子信息工程学院
出处 《中南民族大学学报（自然科学版）》 CAS 2009年第3期85-89,共5页 Journal of South-Central University for Nationalities：Natural Science Edition
基金 国家自然科学基金资助项目(60972081) 湖北省自然科学基金资助项目(2007ABA106)
关键词 正交小波变换 正态反高斯先验模型 矩估计法 模型参数 orthogonal wavelet transform normal inverse Gaussian prior model moment estimator parameteres of model
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献14

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二级参考文献66

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共引文献253

同被引文献14

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引证文献1

中南民族大学学报（自然科学版）
2009年 第3期

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