Subimage extraction by integer-type lifting wavelet transforms

S. Takano, K. Niijima

Research output: Contribution to conferencePaperpeer-review

9 Citations (Scopus)


This paper proposes a method for extracting subimages from a huge reference image by using lifting wavelet transforms that map integers to integers. Our integer-type lifting wavelet transform contains controllable free parameters, which are constructed based on an integer version of Haar transform. Our learning method is to determine such free parameters using some subimages so as to vanish their high frequency components in the y- and x-directions. The learnt wavelet transform has the feature of the subimages. We apply such a wavelet transform to high frequency components of a reference image and check whether they are vanished or not, to detect a target subimage.

Original languageEnglish
Number of pages4
Publication statusPublished - 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sept 10 2000Sept 13 2000


OtherInternational Conference on Image Processing (ICIP 2000)
CityVancouver, BC

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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