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基于双Haar小波的软门限去噪 被引量:3

Double Haar Wavelet Based Soft Thresholding
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摘要 小波变换是用于信号多尺度表示的非常有用的工具。在一些实际问题的应用中,如何选取最佳的小波,是一个非常重要的问题。本文首先提出了一种双Haar小波,它可以看作是Haar小波在三通道小波变换的推广。然后,给出了该小波在信号去噪中的应用。实例表明与Haar小波相比较,双Haar小波在信号去噪中可以给出更好的结果。 Wavelet transform is a very useful tool of signal processing. In many applications, how to select the best wavelet basis is very important. In this paper, a double Haar wavelet is developed, which can be consider as an extension of the Haar wavelet. Then the application of the double Haar wavelet in signal denoising is introduced. Examples show that the double Haar wavelet can give better results than the Haar wavelet.
作者 王欣
出处 《信号处理》 CSCD 2003年第5期465-468,共4页 Journal of Signal Processing
基金 国家自然科学基金(批准号:60172022)
关键词 信号分析 双Haar小波 软门限去噪 信号去噪 wavelet transform image processing signal denoising
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参考文献5

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同被引文献26

  • 1赫罡,张玉琢,李江红.基于边缘提取的无人机图像定位方法研究[J].测控技术,2004,23(7):77-78. 被引量:2
  • 2潘建江,杨勋年,汪国昭.基于模糊连接度的图像分割及算法[J].软件学报,2005,16(1):67-76. 被引量:31
  • 3KROMMWEH J.Tetrolet transform:A new adaptive Harr wavelet algorithm for sparse image representation[J].Journal of Visual Communication and Image Representation.2010,21(4):364-374.
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  • 6LUISIER F,BLU T.A new SURE approach to image denoising:interscale orthonormal wavelet thresholding[J].IEEE Trans.On Image Processing,2007,16(3):593-606.
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  • 8KROMMWEH J,MA Jian-wei.Tetrolet shrinkage with anisotropic total variation minimization for image approximation[J].Signal Process.2010,90(8):2529-2539.
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  • 10傅德胜 寿益禾.《图形图像处理学》[M].东南大学出版社,.P188-190P192-204.

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