DocumentCode
284964
Title
A pyramidal scheme for lattice vector quantization of wavelet transform coefficients applied to image coding
Author
Barlaud, Michel ; Solé, Patrick ; Antonini, Marc ; Mathieu, Pierre
Author_Institution
CNRS, Valbonne, France
Volume
4
fYear
1992
fDate
23-26 Mar 1992
Firstpage
401
Abstract
The image coding scheme involves two steps: biorthogonal wavelet transform of the image and pyramidal lattice vector quantization of wavelet coefficients. In order to obtain a compromise between minimum distortion and bit rate, one must truncate and scale the lattice suitably. To meet this goal, one needs to know how many lattice points lie within the truncated area. The case of Laplacian sources where surfaces of equal probability are spheres for the L 1 metric (pyramids) for arbitrary lattices is investigated. Explicit generating functions for the codebook sizes of the most useful lattices are given
Keywords
image coding; vector quantisation; wavelet transforms; Laplacian sources; biorthogonal wavelet transform; bit rate; codebook sizes; generating functions; image coding; minimum distortion; pyramidal lattice vector quantization; wavelet transform coefficients; Image coding; Lattices; Low pass filters; Multiresolution analysis; Polynomials; Quantum computing; Vector quantization; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226351
Filename
226351
Link To Document