Finding of signal and image by integer-type Haar lifting wavelet transform

Koichi Niijima, Shigeru Takano

    研究成果: Chapter in Book/Report/Conference proceedingChapter

    2 被引用数 (Scopus)

    抄録

    This paper describes a new method for finding portions having the same feature in target signals or images from a time series or a reference image. The new method uses an integer-type Haar lifting wavelet transform. Free parameters contained in this transform are learned by using training signals or images. The advantage of this method is to be able to find portions having the same feature in the targets, and to realize robust extraction due to rounding-off arithmetic in the trained transform. In simulations, we show how well the method finds geomagnetic sudden commencements from time series of geomagnetic horizontal components, and extracts facial images from a snapshot.

    本文言語英語
    ホスト出版物のタイトルProgress in Discovery Science
    出版社Springer Verlag
    ページ494-503
    ページ数10
    ISBN(印刷版)3540433384, 9783540433385
    DOI
    出版ステータス出版済み - 2002

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    2281
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    All Science Journal Classification (ASJC) codes

    • 理論的コンピュータサイエンス
    • コンピュータ サイエンス(全般)

    フィンガープリント

    「Finding of signal and image by integer-type Haar lifting wavelet transform」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル