Title :
Image separation using the monogenic wavelet transform
Author :
Morimoto, Akira ; Ashino, Ryuichi ; Mandai, Takeshi
Author_Institution :
Inf. Sci., Osaka Kyoiku Univ., Kashiwara, Japan
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;
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
DOI :
10.1109/ISCIT.2010.5665079
