loading...
GF(2p) CA Based Vector Quantization for Fast Encoding of Still Images
Calcutta, India January 04-January 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICVD.2000.81259813th International Conference on VLSI ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Kolin Paul, Bengal Engineering College (Deemed University)
Ranadeep Ghosal, Bengal Engineering College (Deemed University)
Biplab Sikdar, Bengal Engineering College (Deemed University)
Santashil Pal Chaudhuri, Indian Institute of Technology
D. Roy Choudhury, Indian Institute of Technology
This paper sets a new direction for vector quantization (VQ) 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.
Citation:
Kolin Paul, Ranadeep Ghosal, Biplab Sikdar, Santashil Pal Chaudhuri, D. Roy Choudhury, "GF(2p) CA Based Vector Quantization for Fast Encoding of Still Images," vlsid, pp.140, 13th International Conference on VLSI Design, 2000
Usage of this product signifies your acceptance of the Terms of Use.