Title
Optimally Sparse Approximations of 3D Functions by Compactly Supported Shearlet Frames.
Abstract
We study efficient and reliable methods of capturing and sparsely representing anisotropic structures in 3D data. As a model class for multidimensional data with anisotropic features, we introduce generalized 3D cartoon-like images. This function class will have two smoothness parameters: one parameter beta controlling classical smoothness and one parameter alpha controlling anisotropic smoothness. The class then consists of piecewise C-beta-smooth functions with discontinuities on a piecewise C-alpha-smooth surface. We introduce a pyramid-adapted, hybrid shearlet system for the 3D setting and construct frames for L-2(R-3) with this particular shearlet structure. For the smoothness range 1 < alpha <= beta <= 2 we show that pyramid-adapted shearlet systems provide a nearly optimally sparse approximation rate within the generalized cartoon-like image model class measured by means of nonlinear N-term approximations.
Year
DOI
Venue
2012
10.1137/110844726
SIAM JOURNAL ON MATHEMATICAL ANALYSIS
Keywords
Field
DocType
anisotropic features,multidimensional data,shearlets,cartoon-like images,nonlinear approximations,sparse approximations
Anisotropy,Classification of discontinuities,Mathematical analysis,Sparse approximation,Approximations of π,Shearlet,Smoothness,Piecewise,Mathematics
Journal
Volume
Issue
ISSN
44
4
0036-1410
Citations 
PageRank 
References 
9
0.56
11
Authors
3
Name
Order
Citations
PageRank
Gitta Kutyniok132534.77
Jakob Lemvig2243.89
Wang-Q Lim31959.41