Dynamic codebook adaptive vector quantization for image compression

Author

Lo, Kwok-Tung ; Cheng, Shing-Mo

Author_Institution

Dept. of Electron. Eng., Hong Kong Polytech., Hung Hom, Hong Kong

Volume

1

fYear

1996

fDate

23-27 Jun 1996

Firstpage

137

Abstract

A new coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is presented for image coding. The proposed system is intended to solve the overhead and complexity problem of existing adaptive vector quantization systems. Simulation results demonstrate that a gain of around 2 dB in PSNR upon the universal vector quantizer, together with a better quality especially in the high contrast areas, is acquired. On the other hand, the execution time of the system is comparable to that of a standard universal VQ system

Keywords

adaptive signal processing; image coding; vector quantisation; DCAVQ; PSNR; adaptive vector quantization systems; dynamic codebook adaptive vector quantization; execution time; high contrast areas; image coding; image compression; simulation results; standard universal VQ system; universal vector quantizer; Adaptive systems; Algorithm design and analysis; Decoding; Image coding; Image reconstruction; Memory management; PSNR; Pattern matching; Transform coding; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on

Conference_Location

Dallas, TX

Print_ISBN

0-7803-3250-4

Type

conf

DOI

10.1109/ICC.1996.540259

Filename

540259