DocumentCode
3236263
Title
Image separation using monogenic signal of stationary wavelet transform
Author
Morimoto, Akira ; Ashino, Ryuichi ; Kataoka, Shusuke ; Mandai, Takeshi
Author_Institution
Inf. Sci., Osaka Kyoiku Univ., Kashiwara, Japan
fYear
2011
fDate
10-13 July 2011
Firstpage
239
Lastpage
244
Abstract
The monogenic signal is a multidimensional generalization of the analytic signal. The monogenic signal of the continuous wavelet transform is called the monogenic wavelet transform. Stationary wavelet transform is a redundant discrete wavelet transform, which is translation-invariant. A new method for blind image source separation based on position-scale information using the monogenic wavelet transform discretized by the stationary wavelet transform is presented.
Keywords
blind source separation; discrete wavelet transforms; image processing; blind image source separation; continuous wavelet transform; monogenic signal; multidimensional generalization; position-scale information; redundant discrete wavelet transform; stationary wavelet transform; translation-invariant; IEL; Signal to noise ratio; Silicon; Image separation; monogenic signal; stationary wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on
Conference_Location
Guilin
ISSN
2158-5695
Print_ISBN
978-1-4577-0283-9
Type
conf
DOI
10.1109/ICWAPR.2011.6014499
Filename
6014499
Link To Document