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

Koichi Niijima, Shigeru Takano

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProgress in Discovery Science
    PublisherSpringer Verlag
    Pages494-503
    Number of pages10
    ISBN (Print)3540433384, 9783540433385
    DOIs
    Publication statusPublished - 2002

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2281
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

    Fingerprint Dive into the research topics of 'Finding of signal and image by integer-type Haar lifting wavelet transform'. Together they form a unique fingerprint.

    Cite this