Adaptive wavelet transforms via lifting

Files in this item

Files Size Format View
9969242.PDF 3.210Mb application/pdf Thumbnail

Show simple item record

Item Metadata

dc.contributor.advisor Baraniuk, Richard G.
dc.creator Claypoole, Roger L., Jr 2009-06-04T06:46:59Z 2009-06-04T06:46:59Z 2000
dc.description.abstract Wavelet transforms have proven very useful for a variety of signal and image processing tasks. The wedgelet transform also shows promise for certain edge-dominated images. However, in many applications we desire to introduce adaptivity and non-linearities into the transforms. These are powerful extensions, but difficult to control within the wavelet framework. The lifting scheme provides a new, spatial intuition into the wavelet transform that simplifies the introduction of adaptivity. In this thesis, we develop several new adaptive wavelet transforms and adaptive multiresolution wedgelet transforms. The lifting construction permits control over the multiresolution properties of these transforms despite the adaptivity. We demonstrate the power of our new adaptive lifted transforms with successful applications to signal denoising and compression problems.
dc.format.extent 76 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject Engineering, Electronics and Electrical
dc.title Adaptive wavelet transforms via lifting
dc.type.genre Thesis
dc.type.material Text Electrical and Computer Engineering Engineering Rice University Doctoral Doctor of Philosophy
dc.identifier.citation Claypoole, Roger L., Jr. (2000) "Adaptive wavelet transforms via lifting." Doctoral Thesis, Rice University.

This item appears in the following Collection(s)