Title

Adaptive vector quantisation of non-orthogonal representations for image compression

Authors

Authors

W. B. Mikhael;P. Ragothaman

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Electron. Lett.

Keywords

Engineering, Electrical & Electronic

Abstract

An efficient compression technique employing adaptive vector quantisation of multiple non-orthogonal transform domain representations of still images is developed. For each sub-image, the encoder selects a code from the domain that yields best representation. The performance improvement employing the proposed technique relative to existing single domain vector quantisation coding methods, for the same compression ratio, is obtained at the expense of increased computational complexity.

Journal Title

Electronics Letters

Volume

39

Issue/Number

2

Publication Date

1-1-2003

Document Type

Article

DOI Link

http://dx.doi.org/10.1049/el:20030139

Language

English

First Page

200

Last Page

201

WOS Identifier

WOS:000181532400020

ISSN

0013-5194

Recommended Citation

"Adaptive vector quantisation of non-orthogonal representations for image compression" (2003). Faculty Bibliography 2000s. 3931.
https://stars.library.ucf.edu/facultybib2000/3931