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