A fixed-rate product pyramid vector quantization using a Bayesian model

Author

Filip, Pavel ; Ruf, Michael J.

Author_Institution

German Aerosp. Res. Establ., Oberpfaffenhofen, Germany

fYear

1992

Firstpage

240

Abstract

The performance of the pyramid vector quantizer is analyzed. Some useful formulas for the computation of the pyramid numbers N( L, K) are derived from the generating function. The quantization error, when (L-K)-thresholding is employed is estimated. Extending the Laplacian model, the results can be generalized by applying the Bayesian method. Some simulation results for pyramid vector quantization in DCT (discrete cosine transform) image compression are given

Keywords

Bayes methods; data compression; discrete cosine transforms; image coding; vector quantisation; (L-K)-thresholding; Bayesian model; DCT image compression; discrete cosine transform; fixed-rate product pyramid vector quantization; quantization error; Bayesian methods; Communications technology; Computational modeling; Data systems; Discrete cosine transforms; Image coding; Laplace equations; Lattices; Performance analysis; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1992. Conference Record., GLOBECOM '92. Communication for Global Users., IEEE

Conference_Location

Orlando, FL

Print_ISBN

0-7803-0608-2

Type

conf

DOI

10.1109/GLOCOM.1992.276485

Filename

276485

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1667404