DocumentCode :
303062
Title :
Computational-RAM implementation of mean-average scalable vector quantization for real-time progressive image transmission
Author :
Le, T.M. ; Panchanathan, S. ; Snelgrove, M.
Author_Institution :
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Volume :
1
fYear :
1996
fDate :
26-29 May 1996
Firstpage :
442
Abstract :
A new progressive image transmission algorithm using vector quantization is proposed. The algorithm has been implemented on the parallel architecture of the computational-RAM. Simulation results have shown that good quality multi-resolution images can be reconstructed with no extra effort in the codebook generation, and real-time compression is possible with low computational complexity
Keywords :
image coding; image reconstruction; image resolution; parallel architectures; random-access storage; vector quantisation; visual communication; VQ; codebook generation; computational-RAM; image quality; image reconstruction; image transmission algorithm; low computational complexity; mean-average scalable vector quantization; multiresolution images; real-time compression; real-time progressive image transmission; simulation results; vector quantization; Computer architecture; Concurrent computing; Image coding; Image communication; Image reconstruction; Laboratories; Multimedia databases; Parallel architectures; Random access memory; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
ISSN :
0840-7789
Print_ISBN :
0-7803-3143-5
Type :
conf
DOI :
10.1109/CCECE.1996.548131
Filename :
548131
Link To Document :
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