Skip to Main content Skip to Navigation
New interface
Conference papers

BLAC-wavelets: a m ultiresolution analysis with non-nested spaces

Abstract : In the last five years, there has been numerous applications of wavelets and multires-olution analysis in many elds of computer graphics as diierent as geometric modelling, volume visualization or illumination modelling. Classical multiresolution analysis is based on the knowledge of a nested set of functional spaces in which the successive approximations of a given function converge to that function, and can be eeciently computed. This paper rst proposes a theoretical framework which enables multiresolution analysis even if the functional spaces are not nested, as long as they still have the property that the successive approximations converge to the given function. Based on this concept we nally introduce a new multiresolution analysis with exact reconstruction for large data sets deened on uniform grids. We construct a one-parameter family of multiresolution analyses which is a blending of Haar and linear multiresolution.
Document type :
Conference papers
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download
Contributor : Georges-Pierre Bonneau Connect in order to contact the contributor
Submitted on : Tuesday, February 13, 2018 - 6:37:07 PM
Last modification on : Friday, November 18, 2022 - 9:26:03 AM
Long-term archiving on: : Tuesday, May 8, 2018 - 12:22:48 AM


Files produced by the author(s)




Georges-Pierre Bonneau, Stefanie Hahmann, Gregory M Nielson. BLAC-wavelets: a m ultiresolution analysis with non-nested spaces. VIS 1996 - 7th Annual IEEE Visualization '96, Oct 1996, San Francisco, United States. pp.1-6, ⟨10.1109/VISUAL.1996.567602⟩. ⟨hal-01708581⟩



Record views


Files downloads