DocumentCode
1580766
Title
Image separation using the monogenic wavelet transform
Author
Morimoto, Akira ; Ashino, Ryuichi ; Mandai, Takeshi
Author_Institution
Inf. Sci., Osaka Kyoiku Univ., Kashiwara, Japan
fYear
2010
Firstpage
707
Lastpage
712
Abstract
The Riesz transforms and the monogenic signal are two-dimensional generalizations of the Hilbert transform and the analytic signal, respectively. The monogenic wavelet transformation is introduced and applied to solve blind source separation problems for images. The monogenic wavelet transformation is used to define spatial-scale information. Algorithms to solve the image separation problem are proposed.
Keywords
blind source separation; image processing; wavelet transforms; Hilbert transform; Riesz transform; analytic signal; blind source separation; image separation; monogenic signal; monogenic wavelet transformation; spatial-scale information; two-dimensional generalization; Continuous wavelet transforms; Fourier transforms; Histograms; Image color analysis; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies (ISCIT), 2010 International Symposium on
Conference_Location
Tokyo
Print_ISBN
978-1-4244-7007-5
Electronic_ISBN
978-1-4244-7009-9
Type
conf
DOI
10.1109/ISCIT.2010.5665079
Filename
5665079
Link To Document