Compression of functions defined on surfaces of 3D objects

Author

Kolarav, K. ; Lynch, William

Author_Institution

Interval Res. Corp., Palo Alto, CA, USA

fYear

1997

fDate

25-27 Mar 1997

Firstpage

281

Lastpage

290

Abstract

We present a technique to compress scalar functions defined on 2-manifolds. Our approach combines discrete wavelet transforms with zerotree compression, building on ideas from three previous developments: the lifting scheme, spherical wavelets, and embedded zerotree coding methods. Applications lie in the efficient storage and rapid transmission of complex data sets. Typical data sets are Earth topography, satellite images, and surface parametrizations. Our contribution is the novel combination and application of these techniques to general 2-manifolds

Keywords

data compression; quantisation (signal); transform coding; trees (mathematics); wavelet transforms; 2-manifolds; 3D object surfaces; Earth topography; complex data sets storage; complex data sets transmission; discrete wavelet transforms; embedded zerotree coding methods; lifting scheme; quantisation; satellite images; scalar functions compression; spherical wavelets; surface parametrizations; zerotree compression; Data compression; Discrete wavelet transforms; Earth; Image coding; Milling machines; Satellites; Surface topography; Wavelet coefficients; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 1997. DCC '97. Proceedings

Conference_Location

Snowbird, UT

ISSN

1068-0314

Print_ISBN

0-8186-7761-9

Type

conf

DOI

10.1109/DCC.1997.582051

Filename

582051