Adaptive wavelet transforms for image coding using lifting

Roger Claypoole, Geoffrey Davis, Wim Sweldens, Richard Baraniuk

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

1 Scopus citations


Image compression relies on efficient representations of images, and within smooth image regions, the wavelet transform provides such a representation. However, near edges, wavelet coefficients decay slowly and are expensive to code. This paper focuses on improving the transform by incorporating adaptivity. Construction of nonlinear filter banks is discussed and how to use the nonlinearities is presented by describing the transform via lifting, which provides a spatial domain framework for the wavelet transform.

Original languageEnglish (US)
Title of host publicationData Compression Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
StatePublished - 1998
EventProceedings of the 1998 Data Compression Conference, DCC - Snowbird, UT, USA
Duration: Mar 30 1998Apr 1 1998


OtherProceedings of the 1998 Data Compression Conference, DCC
CitySnowbird, UT, USA

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering


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