Permutative vector quantization-application to image compression
- Resource Type
- Conference
- Authors
- Skowronski, J.; Dologlou, I.
- Source
- 1995 International Conference on Acoustics, Speech, and Signal Processing Acoustics, speech and signal processing Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on. 4:2587-2590 vol.4 1995
- Subject
- Signal Processing and Analysis
Components, Circuits, Devices and Systems
Image coding
Vector quantization
Algorithm design and analysis
- Language
- ISSN
- 1520-6149
The paper describes the permutative vector quantization (PVQ) scheme as a special case of a more general structurally constrained vector quantization concept. This concept makes it possible to increase the vector dimensions beyond the technical bounds of conventional VQ and to exploit, by means of this, the inter-pixel correlations in large image blocks. Furthermore, a codebook design algorithm adapted to permutative VQ is proposed and it is shown experimentally that the coding performance of conventional VQ can be improved using the present scheme.