| 小波域隐马尔可夫树模型在图像去噪中的应用 |
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| 引用本文： | 吴石虎,余旭初,许敏,石磊.小波域隐马尔可夫树模型在图像去噪中的应用[J].测绘学院学报,2010(2). |
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| 作者姓名： | 吴石虎 余旭初 许敏 石磊 |
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| 作者单位： | 信息工程大学测绘学院;75719部队; |
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| 摘 要： | 小波域隐马尔可夫树(HMT)模型被广泛应用于统计信号和图像处理中,它成功描述了真实图像小波系数在尺度之间的相关性和依赖性,很好地体现了小波变换的延续性和非高斯性。这里通过构建图像小波域HMT模型,在应用期望最大(EM)算法估计HMT模型的参数之后,对小波系数进行贝叶斯估计达到去除噪声的目的。实验结果表明,去噪效果好于其他小波去噪算法。
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| 关 键 词： | 小波变换 隐马尔可夫树模型 贝叶斯估计 图像滤波 四叉树 |
Application of Wavelet-Domain HMT Models in Image Denoising |
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| WU Shi-hu,YU Xu-chu,XU Min,SHI Lei.Application of Wavelet-Domain HMT Models in Image Denoising[J].Journal of Institute of Surveying and Mapping,2010(2). |
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| Authors: | WU Shi-hu YU Xu-chu XU Min SHI Lei |
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| Institution: | 1.Institute of Surveying and Mapping;Information Engineering University;Zhengzhou 450052;China;2.75719 Troops;Wuhan 437200;China |
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| Abstract: | Wavelet-Domain HMT models has been applied in statistic signal and image processing.The features of the wavelet coefficients between the scales of real-world image are captured,such as correlation and persistency and it is incarnated the Persistency and NonGaussianity properties of the wavelet coefficients.The Wavelet-Domain HMT model was built and the EM algorithm was used to estimate the parameters of the HMT model.At last Bayesian MAP was used to estimate the wavelet coefficients.The experimental results... |
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