Joint adaptive space and frequency basis selection

Author

Smith, John R. ; Chang, Shih-Fu

Author_Institution

IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA

Volume

3

fYear

1997

Firstpage

702

Abstract

We develop a new method for building a representation of an image from a library of basis elements that is facilitated by a joint adaptive space and frequency (JASF) graph. The JASF graph combines partitionable frequency expansion and spatial segmentation of the image, symmetrically. We demonstrate by using a rate-distortion framework for basis selection that the JASF graph improves compression performance over recent wavelet packet and double-tree methods by offering exponentially more bases in which to represent the images

Keywords

adaptive signal processing; data compression; graph theory; image coding; image representation; image segmentation; rate distortion theory; adaptive frequency basis selection; adaptive space basis selection; compression performance; double-tree method; image representation; joint adaptive space and frequency graph; library; partitionable frequency expansion; rate-distortion; single-trees; spatial image segmentation; wavelet packet method; Filter bank; Frequency; Image coding; Image decomposition; Image segmentation; Libraries; Milling machines; Rate-distortion; Rivers; Tree graphs;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.632218

Filename

632218