Title :
Vector quantisation: a transputer implementation
Author :
Omarouayache, S. ; Ngwa-Ndifor, J. ; Ellis, T.J.
Author_Institution :
City Univ., London, UK
Abstract :
The paper considers the problem of implementing image compression algorithms based on vector quantisation. A transputer based multi-processing approach is proposed which enables images to be encoded and decoded at fast rates. Results are presented for the performance of the algorithm on various processor topologies, and the near linear speed-ups, indicate that further improvements in computation rates are achievable
Keywords :
computerised picture processing; data compression; encoding; parallel machines; transputers; image compression algorithms; multi-processing approach; processor topologies; transputer implementation; vector quantisation;
Conference_Titel :
Image Processing and its Applications, 1992., International Conference on
Conference_Location :
Maastricht
Print_ISBN :
0-85296-543-5