同场景多幅图像斑纹噪声抑制方法

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (5): 1051-1054.

同场景多幅图像斑纹噪声抑制方法

陈洪波^1,2, 汤井田², 陈真诚²

1. 湖南文理学院计算机科学与技术学院, 湖南, 常德, 415000;
2. 中南大学信息物理工程学院生物医学工程研究所, 湖南, 长沙, 410083

收稿日期:2008-01-26 修回日期:2008-09-02 出版日期:2009-05-20 发布日期:2010-01-03
作者简介:陈洪波(1972- ),男,副教授,博士研究生,主要研究方向为医学图像处理,模式识别.E-mail:hongbochen@163.com

Method for reducing speckle noise in multiple copy images within identical scenario

CHEN Hong-bo^1,2, TANG Jing-tian², CHEN Zhen-cheng²

1. Dept. of Computer Science and Technology, Hunan Univ. of Arts and Science, Changde 415000, China;
2. Inst. of Biomedical Engineering, School of Info-physics and Geomatics Engineering, Central South Univ., Changsha 410083, China

Received:2008-01-26 Revised:2008-09-02 Online:2009-05-20 Published:2010-01-03

摘要/Abstract

摘要： 提出采用独立分量分析法去除同场景多幅图像中斑纹噪声的方法.包含在同场景多幅图像中的图像信号和噪声信号可以认为是相互独立的,独立分析方法则可以用来对这些图像进行分解,并将它们进行有效地分离,以达到滤除图像中的斑纹噪声.实验结果表明,利用同场景多幅图像来进行去噪的效果比对单幅图像去噪的效果要好;和平均法、平均同态维纳法和同态维纳平均法等方法进行比较,该方法能更好地滤除同场景多幅图像中的斑纹噪声.

中图分类号:

TP391.41

陈洪波, 汤井田, 陈真诚. 同场景多幅图像斑纹噪声抑制方法[J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1051-1054.

CHEN Hong-bo, TANG Jing-tian, CHEN Zhen-cheng. Method for reducing speckle noise in multiple copy images within identical scenario[J]. Journal of Systems Engineering and Electronics, 2009, 31(5): 1051-1054.

参考文献

[1] 李军侠,水鹏朗,武楠.小波域局部贝叶斯阈值的SAR图像斑点噪声抑制算法[J].系统工程与电子技术,2006,28(6):819-822.(Li Junma,Shui Penglang,Wu Nan.Wavelet domain Bayesian shrinkage despeckling algorithm for SAR image[J].Systems Engineering and Electronics,2006,28(6):819-822.)
[2] 都基焱,赵炳爱.范晓虹,等.SAR图像斑点噪声滤除方法应用研究[J].系统工程与电子技术,2004,26(8):1027-1029,1079.(Du Jiyan,Zhao Bingai,Fan Xiaohong,et al.Study on the application of speckle noise filtering methods in SAR images[J].Systems Engineering and Electronics,2004,26(8):1027-1029,1079.)
[3] Yong Yue,Mihai M,Croitoru,et al.Nonlinear muhiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images[J].IEEE Trans.on Medical Imaging,2006,25(3):297-311.
[4] Xie Jun,Jiang Yifeng,Tsui Hung-Tat,et al.Boundary enhancement and speckle reduction for ultrasound images via salient structure extraction[J].IEEE Trans.on Biomedical Engineering,2006,53(11):2300-2309.
[5] Christos P,Loizou C S,Pattichis C I,et al.Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery[J].IEEE Trans.on Ultrasonics,Ferroelectrics,and Frequency Control,2005,52(10):1653-1669.
[6] Lopez-Martinez C,Pottier E.On the extension of muhidimensional speckle noise model from single-look to multilook SAR imagery[J].IEEE Trans.on Geoscience and Remote Sensing,2007,45:305-320.
[7] 杨福生,洪波.独立分量分析的原理与应用[M].北京:清华大学出版社,2006.
[8] 李可,闫镔,单保慈.功能磁共振图像处理的ICA方法综述[J].中国图象图形学报,2005,10(5):561-566.
[9] Blanco D,Mulgrew B,McLaughlin S,et al.The use of ICA in multiplicative noise[J].Neuroctrmputing,2006,69(13):1435-1441.
[10] Hyvarinen A.Fast and robust fixed-point algorithms for independent component analysis[J].IEEE Trans.on Neural Networks,1999,10(3):626-634.
[11] Mckeown M J,Makeig S,Brown G G,et al.Analysis of fMRI data by blind separation into independent spatial components[J].Human Brain Mapping,1998,6;160-188.
[12] Moritz C H.Haughton V M,Cordes D,et al.Whole brain functional MR imaging activation from a finger-tapping task examined with indenpent component analysis[J].American J.Neuroradiol,2000,21:1629-1635.