Sub-image extraction by learnt lifting wavelet filters

Shigeru Takano, Koichi Niijima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a method for extracting sub-images from a huge reference image by using learnt lifting wavelet filters. Lifting wavelet filters are biorthogonal wavelet filters containing free parameters developed by Sweldens. Our method is to learn such free parameters using some training sub-images so as to eliminate their high frequency components. The learnt wavelet filters have the feature of training sub-images. Applying such wavelet filters to the reference image, we can detect the area which has almost the same high frequency components as those of the target sub-image.

Original languageEnglish
Title of host publicationISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
PublisherIEEE Computer Society
Pages309-312
Number of pages4
ISBN (Print)1864354518, 9781864354515
DOIs
Publication statusPublished - Jan 1 1999
Event5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 - Brisbane, QLD, Australia
Duration: Aug 22 1999Aug 25 1999

Publication series

NameISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
Volume1

Other

Other5th International Symposium on Signal Processing and Its Applications, ISSPA 1999
CountryAustralia
CityBrisbane, QLD
Period8/22/998/25/99

All Science Journal Classification (ASJC) codes

  • Signal Processing

Cite this

Takano, S., & Niijima, K. (1999). Sub-image extraction by learnt lifting wavelet filters. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications (pp. 309-312). [818174] (ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ISSPA.1999.818174