Fast lattice-based gain-shape vector quantisation for image-sequence coding
- 1 January 1993
- journal article
- Published by Institution of Engineering and Technology (IET) in IEE Proceedings I Communications, Speech and Vision
- Vol. 140 (1) , 56-66
- https://doi.org/10.1049/ip-i-2.1993.0009
Abstract
A fast lattice-based gain/shape vector-quantisation method (FLGSVQ) is presented. The proposed technique combines the basic ideas of gain/shape vector quantisation (GSVQ) with lattice codes to offer an encoding process which is extremely fast compared with the conventional GSVQ. The main aim is to show how vector quantisers designed using the LBG algorithm can be substituted by lattice-based ones with vast reductions in encoding complexity, at a competitive image quality. A simple single-/two-stage coding system based on lattice quantisation is tested for interframe predictive coding of image sequences. Simulation results are provided to compare the performance of the proposed method with the conventional LBG-designed vector quantisation. These results, along with subjective evaluations, clearly demonstrate that lattice quantisation can be competitive with vector quantisation in terms of signal-to-noise performance, only at a very small fraction (4%) of the vector-quantiser complexity.Keywords
This publication has 4 references indexed in Scilit:
- Multiple stage vector quantization for speech codingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Vector Quantization and Signal CompressionPublished by Springer Nature ,1992
- Source Coding TheoryPublished by Springer Nature ,1989
- Sphere Packings, Lattices and GroupsPublished by Springer Nature ,1988