DocumentCode :
567942
Title :
Application of the source reduction method with multiwavelets to image separation
Author :
Morimoto, Akira ; Ashino, Ryuichi ; Mandai, Takeshi
Author_Institution :
Inf. Sci., Osaka Kyoiku Univ., Osaka, Japan
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
384
Lastpage :
389
Abstract :
The blind image source separation problem is to estimate the number of the unknown source images and to separate the original images from superpositions of source images. The coefficients of the superposition are also unknown. Our proposed source reduction method has a potential to overcome the difficulty of previously proposed methods. In this paper, we give an algorithm of the method with continuous multiwavelet transform for the image separation. Various numerical experiments using the proposed algorithm ensure that our proposed source reduction method performs well for image separation. An example of numerical experiments is presented.
Keywords :
blind source separation; discrete wavelet transforms; image processing; blind image source separation problem; continuous multiwavelet transform; source image estimation; source image superposition; source reduction method; Continuous wavelet transforms; Estimation; Histograms; Source separation; Wavelet analysis; Blind image source separation; Continuous multiwavelet transform; Position-scale information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2158-5695
Print_ISBN :
978-1-4673-1534-0
Type :
conf
DOI :
10.1109/ICWAPR.2012.6294812
Filename :
6294812
Link To Document :
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