By Topic

GF(2p) CA based vector quantization for fast encoding of still images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Paul, K. ; Dept. of Comput. Sci. & Technol., Deemed Univ., Agra, India ; Chaudhuri, S.P. ; Ghosal, R. ; Sikdar, B.
more authors

This paper sets a new direction for vector quantization (I/Q) employed for image compression. The technology of GF(2p) CA has been employed for the VQ encoder in order to reduce the encoding time by more than one order of magnitude

Published in:

VLSI Design, 2000. Thirteenth International Conference on

Date of Conference: