DocumentCode :
302056
Title :
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
Link To Document :
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