Separation of layers from images containing multiple reflections and transparency using cyclic permutation

Hara Kenji, Kohei Inoue, Kiichi Urahama

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    4 被引用数 (Scopus)

    抄録

    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.

    本文言語英語
    ホスト出版物のタイトル2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
    ページ1157-1160
    ページ数4
    DOI
    出版ステータス出版済み - 2009
    イベント2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, 台湾
    継続期間: 4月 19 20094月 24 2009

    その他

    その他2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
    国/地域台湾
    CityTaipei
    Period4/19/094/24/09

    !!!All Science Journal Classification (ASJC) codes

    • 信号処理
    • ソフトウェア
    • 電子工学および電気工学

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