Robust lifting wavelet transform for subimage extraction

Shigeru Takano, Koichi Niijuma

研究成果: ジャーナルへの寄稿会議記事査読

7 被引用数 (Scopus)


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.

ジャーナルProceedings of SPIE - The International Society for Optical Engineering
出版ステータス出版済み - 12月 1 2000
イベントWavelet Applications in Signal and Image Processing VIII - San Diego, CA, USA
継続期間: 7月 31 20008月 4 2000

!!!All Science Journal Classification (ASJC) codes

  • 電子工学および電気工学
  • 凝縮系物理学


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