标题:Application of independent component analysis on noisy image separation
作者:Zhao, Hao ;Zhou, Weidong ;Peng, Yuhua
通讯作者:Zhao, H.
作者机构:[Zhao, Hao ;Zhou, Weidong ;Peng, Yuhua ] Sch. of Info. Sci. and Engineering, Shandong University, Ji'nan 250100, China
会议名称:2004 7th International Conference on Signal Processing Proceedings, ICSP
会议日期:31 August 2004 through 4 September 2004
来源:2004 7th International Conference on Signal Processing Proceedings, ICSP
出版年:2004
页码:1020-1023
关键词:Image de-noising; Image separation; Independent component analysis (ICA); Wavelet threshold de-noising
摘要:The basic model and methods of Independent Component Analysis (ICA) are introduced in this paper. The ICA of noisy signals is discussed. The technique of wavelet threshold de-noising and the algorithm of FastICA are both studied with computer simulation of noisy image separation. The simulation results show that for the mixed images with additive white Gaussian noise, it's better to de-noise the images before applying ICA than to apply ICA first and then de-noise the independent components.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-10444284159&partnerID=40&md5=95aa477da04bd11b5333bf8bc2366bcc
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