Universal adaptive vector quantization using codebook quantization with application to image compression

Abstract

A high-resolution analysis is presented for a universal vector quantization scheme based on periodic codebook transmissions. The scheme assumes a slowly changing nonstationary source such as an image and periodically transmits new updated codebooks as side information to the receiver. The side information is transmitted via a large universal codebook which itself acts as a quantizer for the updated codebooks to be transmitted. This scheme generalizes the more simple technique of adapting a codebook by transmitting its vector components one at a time using a fixed uniform scalar quantizer. These schemes are compared both theoretically and experimentally and side information is determined.

Keywords

This publication has 11 references indexed in Scilit:

Code Clustering For Weighted Universal VQ And Other Applications
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2005
Adaptive vector quantization by progressive codevector replacement
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2005
A dynamic finite-state vector quantization scheme
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
Vector Quantization and Signal Compression
Published by Springer Nature ,1992
High-resolution quantization theory and the vector quantizer advantage
IEEE Transactions on Information Theory, 1989
Asymptotic quantization error of continuous signals and the quantization dimension
IEEE Transactions on Information Theory, 1982
Universal tree encoding for speech
IEEE Transactions on Information Theory, 1981
An Algorithm for Vector Quantizer Design
IEEE Transactions on Communications, 1980
Asymptotically optimal block quantization
IEEE Transactions on Information Theory, 1979
Fixed rate universal block source coding with a fidelity criterion
IEEE Transactions on Information Theory, 1975