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13th International Conference on VLSI Design
GF(2p) CA Based Vector Quantization for Fast Encoding of Still Images
Calcutta, India
January 04-January 07
ISBN: 0-7695-0487-6
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
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