基于多小波分析的图像消噪方法

下载PDF

导出

摘要针对传统小波消噪效果的局限性,多小波所拥有的对称性、正交性、有限支撑等重要特性弥补了单小波的不足。分析了多小波方法的原理,并将多小波算法用于图像消噪中,研究结果表明,多小波对图像信号的先验知识要求较低,在抑制噪声干扰的同时,能够保留更完整的有用信号。

作者冯飞

机构地区青岛黄海职业学院

出处《科技资讯》 2007年第27期52-52,共1页 Science & Technology Information

关键词小波分析多小波图像消噪

参考文献5

1[1]Bui.T.D,Chen.G.Translation-invariant denoising using multiwavelets[J].IEEE Transactions on Signal Processing,1998,46(12):3414-3420.
2[2]Goodman.T.N.T.Lee.S.L.Wavelets of multiplicity[J].Trans.Amer.Math.Soc.1994,342(2):307-324.
3[3]M.Antonini.Wavelet transform and image coding[M].Elsevier,1994,Chap.3:65-188.
4费佩燕,郭宝龙.基于多小波的图像去噪技术研究[J].中国图象图形学报（A辑）,2005,10(1):107-112. 被引量：17
5[5]Downie.T.R,Silverman.B/W.The discrete multiple wavelet transform and thresholding methods[J].IEEE Transactions on Signal Processing,1998,46(9):2558-2561.

1郭宝龙,郭雷.用扩散和集中神经网络区分图形与背景[J].科学通报,1994,39(19):1805-1808. 被引量：5
2Geronimo J, Hardin D P, Massopust P. Fractal functions and wavelet expansions based on several scaling functions [ J ]. Journal of Approximation Theory, 1994,75 (4) :373 - 401.
3Strela V, Heller P N, Strang G, et al. The application of multiwavelet filterbanks to image processing [ J ]. IEEE Transactions Image Processing, 1999,8 (4) : 548 - 563.
4Xia X G, Geronimo J S, Hardin D P, et al. Design of prefilters for discrete muhiwavelet transforms [ J ]. IEEE Transactions Signal Processing, 1996,44( 1 ) :25 -35.
5Xia X G. A new prefiher design for discrete multiwavelet transforms[J]. IEEE Transactions Signal processing, 1998,46(6):1558 -1570.
6Mallat S, Hwang Wen Liang. Singularity Detection and Processing with Wavelets [ J ]. IEEE Transactions on Information Theory, 1992,38(2) :617 -643.
7Donoho D L. De-noising via soft-thresholding[J]. IEEE Transactions on Information Theory, 1992,41(3) : 613 -627.

科技资讯

2007年第27期

内容加载中请稍等...