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Proceedings Paper

Robust lifting wavelet transform for subimage extraction
Author(s): Shigeru Takano; Koichi Niijima
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Paper 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.

Paper Details

Date Published: 4 December 2000
PDF: 9 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408574
Show Author Affiliations
Shigeru Takano, Kyushu Univ. (Japan)
Koichi Niijima, Kyushu Univ. (Japan)


Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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