ICA photographic encoding gear: Image bases towards IPEG

Yasuo Matsuyama, Hiroaki Kataoka, Naoto Katsumata, Keita Shimoda

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    Independent component analysis (ICA) is applied to image coding. There, new design methods for ICA bases are presented. The new feature of this learning algorithm includes the weak guidance, or decreasing supervisory information. The weak guidance reduces the permutation indeterminacy which is unavoidable in usual ICA algorithms. In view of the image compression, this effect corresponds to the generation of image bases honoring the space frequency's neighborhood and 2-D ordering. Following the presentation of this learning algorithm, experiments are performed to obtain serviceable ICA bases. Finally, image compression and restoration are demonstrated to show the eligibility for "image. ipeg." Other applications such as image retrieval are also commented.

    本文言語English
    ホスト出版物のタイトルIEEE International Conference on Neural Networks - Conference Proceedings
    ページ2129-2134
    ページ数6
    3
    DOI
    出版ステータスPublished - 2004
    イベント2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest
    継続期間: 2004 7 252004 7 29

    Other

    Other2004 IEEE International Joint Conference on Neural Networks - Proceedings
    CityBudapest
    Period04/7/2504/7/29

    ASJC Scopus subject areas

    • Software

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