Title

An efficient image representation technique using vector quantization in multiple transform domains

Authors

Authors

W. B. Mikhael;P. Ragothaman

Comments

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Abbreviated Journal Title

Circuits Syst. Signal Process.

Keywords

image compression; image coding; image representation; split vector; quantization; multiple transform domains; multiple bases; transform; coding; COMPRESSION; ALGORITHMS; Engineering, Electrical & Electronic

Abstract

A novel technique for the efficient representation of still images is presented which employs vector quantization in multiple transform domains of the image signal. The system projects the subimages, obtained by partitioning the images used for training, into multiple transform domains. Energy-based split vector quantization is used to form code books in each of these domains. An adaptive algorithm to further optimize the accuracy of the code books in each transform domain is also developed. Simulations using sample images show that this scheme provides improved reconstruction quality over existing methods for the same compression ratios, or equivalently, employing the proposed technique, fewer bits per pixel are used for the same reconstruction quality. This is achieved at the expense of increased computation at the encoder. The benefits from the improved representation efficiency often outweigh the increased computational complexity.

Journal Title

Circuits Systems and Signal Processing

Volume

24

Issue/Number

1

Publication Date

1-1-2005

Document Type

Article

Language

English

First Page

19

Last Page

33

WOS Identifier

WOS:000227820300002

ISSN

0278-081X

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