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)


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
Number of pages10
ISBN (Print)3540433384, 9783540433385
Publication statusPublished - 2002

Publication series

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

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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