Generalized mixture ratio based blind image separation

Hara Kenji, Kohei Inoue, Kiichi Urahama

研究成果: Contribution to journalArticle査読

抄録

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.

本文言語英語
論文番号6522461
ページ(範囲)743-746
ページ数4
ジャーナルIEEE Signal Processing Letters
20
8
DOI
出版ステータス出版済み - 6 24 2013

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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