DocumentCode :
3431394
Title :
Vector quantization of the side information in BTC image coding
Author :
Alcaim, Abraham ; Oliveira, Luciano Vereda
Author_Institution :
IBM Brasil, Rio Sci. Center, Rio de Janeiro, Brazil
fYear :
1992
fDate :
16-20 Nov 1992
Firstpage :
345
Abstract :
One approach to reduce the bit rate required to encode the side information parameters in BTC image compression techniques is to employ joint vector quantization. The authors propose an alternative scheme which encodes with separate vector quantizers the arrays formed with each one of the parameters. Simulation results are presented and a comparative performance analysis shows the improvements achieved with the proposed quantization structure
Keywords :
block codes; data compression; image coding; vector quantisation; BTC image coding; arrays; bit rate; block truncation coding; image compression techniques; performance; side information; vector quantization; Analytical models; Bit rate; Computational modeling; Digital images; Graphics; Head; Image coding; Image reconstruction; Performance analysis; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Singapore ICCS/ISITA '92. 'Communications on the Move'
Print_ISBN :
0-7803-0803-4
Type :
conf
DOI :
10.1109/ICCS.1992.255012
Filename :
255012
Link To Document :
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