journal6 ›› 2012, Vol. 33 ›› Issue (2): 78-79.DOI: 10.3969/j.issn.1007-2985.2012.02.018

• 信息与工程 • 上一篇    下一篇

基于小波阈值收缩的图像降噪

  

  1. (吉首大学物理与机电工程学院,湖南 吉首 416000)
  • 出版日期:2012-03-25 发布日期:2012-05-28
  • 作者简介:宋治国(1984-),男,湖南保靖人,吉首大学物理与机电工程学院教师,硕士,主要从事信号与信息处理研究.

Image De-Noise Based on Wavelet Threshold Shrinkage

  1. (College of Physics and Electromechanic Engineering,Jishou University,Jishou 416000,Hunan China)
  • Online:2012-03-25 Published:2012-05-28

摘要:采用双正交小波,利用VisuShrink阈值和BayesShrink阈值,分别通过硬阈值函数和软阈值函数对混入高斯白噪声的图像进行去噪实验.结果表明,硬VisuShrink阈值的降噪效果好于软VisuShrink阈值,软BayesShrink阈值的降噪效果好于硬BayesShrink阈值,并且BayesShrink阈值只有在软阈值函数下才能取得很好的降噪效果.

关键词: 小波变换, 图像降噪, 阈值, 阈值函数

Abstract: The image denoising experiment,using biorthogonal wavelet and applying VisuShrink thresholds and BayesShrink thresholds,is conducted to images mixed with Gaussian white noise through the hard threshold function and the soft threshold function respectively.The results show that denoising effect of the hard VisuShrink threshold is better than that of soft VisuShrink threshold;the denoising effect of the soft BayesShrink threshold is better than that of hard BayesShrink;and BayesShrink can have a better denoising effect only in the soft threshold function.

Key words: wavelet transform, image de-noise, threshold, threshold function

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