Robust lifting wavelet transform for subimage extraction

Shigeru Takano, Koichi Niijuma

Research output: Contribution to journalConference article

7 Citations (Scopus)

Abstract

We present a novel method to extract subimages from a huge reference image by using integer-type lifting wavelet transforms. Our integer to integer lifting wavelet transform contains controllable free parameters in the lifting term, which is constructed based on an integer version of Haar wavelet transform. Such free parameters are trained following a vanishing criterion for low frequency components of query images. The trained parameters have characteristics of the query images. We apply a lifting wavelet transform with such parameters to a reference image and check whether they satisfy our vanishing criterion or not, to extract target subimages.

Original languageEnglish
Pages (from-to)902-910
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4119
DOIs
Publication statusPublished - Dec 1 2000
EventWavelet Applications in Signal and Image Processing VIII - San Diego, CA, USA
Duration: Jul 31 2000Aug 4 2000

Fingerprint

wavelet analysis
Wavelet transforms
Wavelet Transform
integers
Integer
Query
Haar Wavelet
Low Frequency
low frequencies
Target
Term

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Robust lifting wavelet transform for subimage extraction. / Takano, Shigeru; Niijuma, Koichi.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 4119, 01.12.2000, p. 902-910.

Research output: Contribution to journalConference article

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