Index compressed image adaptive vector quantisation

Authors

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

RIS ID

24564

Publication Details

Shanbehzadeh, J. & Ogunbona, P. O. (1996). Index compressed image adaptive vector quantisation. Signal Processing: Image Communication, 8 (5), 421-432.

Abstract

This paper introduces an improved image adaptive vector quantisation technique - index compressed image adaptive vector quantisation (IC-IAVQ). Despite its advantage over the universal codebook VQ, basic image adaptive VQ (IAVQ) is still suboptimum; it neglects the correlation among block indices in the encoded image. The new technique, IC-IAVQ, overcomes this suboptimality through a pre-processing and lossless compression of block indices. Simulation results using several images show that IC-IAVQ outperforms IAVQ and entropy coded IAVQ, especially at low bit-rates by about 2dB on average.