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