Abstract
Iterative approaches have been mostly used for blind source separation. The success of iterative methods generally depends upon appropriate selection of the values of the input parameters such as initial conditions and control parameters. We propose a direct non-iterative method for blindly separating linearly mixed images using the boundary values of the determinant of the relative transformation matrix between the mixtures. The algorithm is a non-trivial extension of the mixture ratio based algorithm originally proposed by Diamantaras and Papadimitriou (2005) and allows for a finite arbitrary number of source images. We demonstrate the performance of our method on synthetic images.
| Original language | English |
|---|---|
| Article number | 6522461 |
| Pages (from-to) | 743-746 |
| Number of pages | 4 |
| Journal | IEEE Signal Processing Letters |
| Volume | 20 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Jun 24 2013 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Generalized mixture ratio based blind image separation. / Kenji, Hara; Inoue, Kohei; Urahama, Kiichi.
In: IEEE Signal Processing Letters, Vol. 20, No. 8, 6522461, 24.06.2013, p. 743-746.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Generalized mixture ratio based blind image separation
AU - Kenji, Hara
AU - Inoue, Kohei
AU - Urahama, Kiichi
PY - 2013/6/24
Y1 - 2013/6/24
N2 - Iterative approaches have been mostly used for blind source separation. The success of iterative methods generally depends upon appropriate selection of the values of the input parameters such as initial conditions and control parameters. We propose a direct non-iterative method for blindly separating linearly mixed images using the boundary values of the determinant of the relative transformation matrix between the mixtures. The algorithm is a non-trivial extension of the mixture ratio based algorithm originally proposed by Diamantaras and Papadimitriou (2005) and allows for a finite arbitrary number of source images. We demonstrate the performance of our method on synthetic images.
AB - Iterative approaches have been mostly used for blind source separation. The success of iterative methods generally depends upon appropriate selection of the values of the input parameters such as initial conditions and control parameters. We propose a direct non-iterative method for blindly separating linearly mixed images using the boundary values of the determinant of the relative transformation matrix between the mixtures. The algorithm is a non-trivial extension of the mixture ratio based algorithm originally proposed by Diamantaras and Papadimitriou (2005) and allows for a finite arbitrary number of source images. We demonstrate the performance of our method on synthetic images.
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UR - http://www.scopus.com/inward/citedby.url?scp=84879112227&partnerID=8YFLogxK
U2 - 10.1109/LSP.2013.2265274
DO - 10.1109/LSP.2013.2265274
M3 - Article
VL - 20
SP - 743
EP - 746
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
SN - 1070-9908
IS - 8
M1 - 6522461
ER -