Transform coding of images using trellis coded quantization
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15206149,p. 2241-2244
- https://doi.org/10.1109/icassp.1990.116014
Abstract
Trellis-coded quantization (TCQ) is incorporated into a transform coding structure for encoding monochrome images. Both fixed-rate and entropy-constrained designs are considered. The fixed-rate TCQ-based systems provide gains in peak signal-to-noise ratio of up to 4.13 dB over scalar quantizer-based schemes, while the entropy-constrained TCQ-based systems provide gains of up to 6.39 dB. The subjective quality of the TCQ-based systems is substantially better than that of comparable scalar quantizer-based systems. The high-frequency background noise, fuzziness, and block artifacts produced by the scalar quantizer-based systems are virtually eliminated by the TCQ-based systems.Keywords
This publication has 10 references indexed in Scilit:
- Trellis-searched adaptive predictive codingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Generalized predictive TCQ of speechCommunications of the ACM, 1990
- Trellis coded quantization of memoryless and Gauss-Markov sourcesIEEE Transactions on Communications, 1990
- Predictive trellis coded quantization of speechIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Predictive Trellis Encoding Of ImageryPublished by SPIE-Intl Soc Optical Eng ,1989
- Distributions of the Two-Dimensional DCT Coefficients for ImagesIEEE Transactions on Communications, 1983
- Channel coding with multilevel/phase signalsIEEE Transactions on Information Theory, 1982
- An Algorithm for Vector Quantizer DesignIEEE Transactions on Communications, 1980
- The viterbi algorithmProceedings of the IEEE, 1973
- Quantizing for minimum distortionIEEE Transactions on Information Theory, 1960