Index compressed tree-structured vector quantisation

Authors

Jamshid Shanbehzadeh, Tarbiat Moalem University, Islamic Republic of Ira
Philip Ogunbona, University of WollongongFollow

RIS ID

24563

Publication Details

Shanbehzadeh, J. & Ogunbona, P. (1999). Index compressed tree-structured vector quantisation. Signal Processing: Image Communication, 14 (3), 229-243.

Abstract

This paper introduces a novel coding scheme based on Tree-Structured Vector Quantisation (TSVQ) scheme for image compression. The genealogical relationship among the indices of the neighbouring blocks generated from vector quantisation is exploited to improve the coding performance of TSVQ. The proposed coding scheme provides about 3.5 dB improvement over the basic TSVQ scheme and outperforms VQ schemes with memory and JPEG coding standard at low bit-rates. In addition its performance is comparable with address VQ but with much less complexity.