DocumentCode :
3515414
Title :
Separation of layers from images containing multiple reflections and transparency using cyclic permutation
Author :
Hara, Kenji ; Inoue, Kohei ; Urahama, Kiichi
Author_Institution :
Dept. of Visual Commun. Design, Kyushu Univ., Fukuoka
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
1157
Lastpage :
1160
Abstract :
In the paper, we propose a new method for blind separation of an arbitrary number of images from a set of their linear mixtures with unknown coefficients. This approach is as follows. We first introduce a novel multiple correlation between one image and a set of multiple images. Then this multiple correlation leads us to provide a set of simultaneous linear equations for updating each mixture of images. Finally, source images are recovered by iterating between solving the sets of equations and cyclically permuting the mixtures of images. The technique can be applied for extracting multiple layers from images containing multiple reflections and transparency.
Keywords :
blind source separation; image reconstruction; iterative methods; blind separation; cyclic permutation; image layer separation; linear mixtures; multiple correlation; multiple reflections; simultaneous linear equations; Blind source separation; Equations; Image processing; Image reconstruction; Independent component analysis; Reflection; Signal processing; Source separation; Vectors; Visual communication; Image processing; Image reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959794
Filename :
4959794
Link To Document :
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