摘要
小波阈值法在图像去噪领域已经成为热门的研究方向,为了使人们能对小波阈值法有概括性的了解。在对小波阈值法现有技术的优缺点进行分析的前提下,总结出小波阈值法在图像去噪领域的三个主要研究方向,即阈值选择的自适应性,小波系数的分布模型,以及防止Gibbs振荡,并探讨了小波阈值法在图像去噪领域的发展方向。
The method of wavelet thresholding for image denoising has been a hot issue in image processing. In order to provide people a summary knowledge of wavelet thresholding method, based on the analyzing the advantages and disadvantages of existing technology of wavelet thresholding for image denoising, three research directions of the method of wavelet thresholding are summariged in image denoising field, that is the adaptation of selecting thresholding, the building model of wavelet coefficients, and the solution of the Gibbs phenomenon. And the future trend of the method of wavelet thresholding is discussed in image denoising field.
出处
《科学技术与工程》
2009年第22期6748-6756,共9页
Science Technology and Engineering
基金
广东省产学研项目(2007B090400021)
广东省科技计划项目(2008B010200003)
2007B010400063)资助
关键词
小波阈值
图像去噪
自适应
系数模型
Gibbs振荡
wavelet thresholding image denoising adaptive coefficients model Gibbs phenomenon
