Robust lifting wavelet transform for subimage extraction

Shigeru Takano, Koichi Niijuma

    Research output: Contribution to journalConference articlepeer-review

    7 Citations (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.

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

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Condensed Matter Physics


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