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Browse Conference Publications > Image Processing, 1995. Proce ... Help

A lattice vector quantizer for generalized Gaussian sources

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3 Author(s)
Feng Chen ; Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA ; Zheng Gao ; Villasenor, J.

A fixed-rate lattice vector quantizer for generalized Gaussian (GG) sources is presented. By using the contour of constant probability of a generalized Gaussian source to bound the integer lattice, this vector quantizer in the limit of high dimension achieves optimal boundary gains for GG sources. Low-complexity techniques for rate control, optimal codevector search and enumeration are developed. This coder achieves 8.60 dB for a generalized Gaussian source with shape parameter of 0.5 at 1 bit/sample (compared with a rate distortion bound of 9.23 dB) and 32.62 dB for the 512×512 “Lena” image at 0.25 bpp without the use of entropy coding. By using two small lookup tables, the nearest codeword search operation can be performed multiply-free and the overall quantization process costs one multiply and a few adds per sample

Published in:
Image Processing, 1995. Proceedings., International Conference on  (Volume:1 )

Date of Conference: 23-26 Oct 1995

Page(s):
105 - 108 vol.1
Meeting Date :
23 Oct 1995-26 Oct 1995
Print ISBN:
0-8186-7310-9
INSPEC Accession Number:
5237272
Conference Location :
Washington, DC
Digital Object Identifier :
10.1109/ICIP.1995.529050
Product Type:
Conference Publications

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