deposit_your_work

Adaptive Wavelet Transforms for Image Coding using Lifting

Files in this item

Files Size Format View
Cla1998Mar5AdaptiveWa.PDF 78.88Kb application/pdf Thumbnail

Show simple item record

Item Metadata

dc.contributor.author Claypoole, Roger L.
Davis, Geoffrey
Sweldens, Wim
Baraniuk, Richard G.
dc.creator Claypoole, Roger L.
Davis, Geoffrey
Sweldens, Wim
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:40:13Z
dc.date.available 2007-10-31T00:40:13Z
dc.date.issued 1998-03-01
dc.date.submitted 1998-03-01
dc.identifier.uri http://hdl.handle.net/1911/19803
dc.description Conference Paper
dc.description.abstract Summary form only given. 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. We focus on improving the transform by incorporating adaptivity. Construction of nonlinear filter banks has been discussed, but the question of how to utilize the nonlinearities remained. We answer this question by describing our transform via lifting. Lifting provides a spatial domain framework for the wavelet transform. In the lifting formalism, wavelet coefficients are seen as prediction residuals from a linear prediction operation. Wavelet coefficients are large near edges because the linear predictors are built to interpolate low order polynomials. Our goal is to avoid this problem by adapting the predictor based on local image properties. In smooth regions of the image, we use high order polynomial predictors. We adaptively reduce the prediction order to avoid attempting to predict values across discontinuities.
dc.language.iso eng
dc.subject.other DSP for Communications
dc.title Adaptive Wavelet Transforms for Image Coding using Lifting
dc.type Conference Paper
dc.date.note 2006-06-07
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-07
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.citation.pageNumber 537
dc.citation.location Snowbird, UT
dc.citation.conferenceName Data Compression Conference
dc.type.dcmi Text
dc.identifier.citation R. L. Claypoole, G. Davis, W. Sweldens and R. G. Baraniuk,"Adaptive Wavelet Transforms for Image Coding using Lifting," in Data Compression Conference,, pp. 537.

This item appears in the following Collection(s)

  • ECE Publications [1045 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.