Generalized mixture ratio based blind image separation

Kenji Hara, Kohei Inoue, Kiichi Urahama

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)


    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 languageEnglish
    Article number6522461
    Pages (from-to)743-746
    Number of pages4
    JournalIEEE Signal Processing Letters
    Issue number8
    Publication statusPublished - 2013

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Electrical and Electronic Engineering
    • Applied Mathematics


    Dive into the research topics of 'Generalized mixture ratio based blind image separation'. Together they form a unique fingerprint.

    Cite this