论文信息 - Hybrid predictive/VQ lossless image coding

Hybrid predictive/VQ lossless image coding

A multiplicative autoregressive model is used in a lossless predictive image coding scheme. The use of vector quantisation (VQ) for compression of the model coefficients leads to an improved compression ratio. Both image adaptive and universal codebooks are considered. A comparative analysis of the new coder is presented through simulation results.

Philip Ogunbona | Golshah Naghdy | Jianli Wang

[1] A. Fettweis. Wave digital filters: Theory and practice , 1986, Proceedings of the IEEE.

[2] Rangaraj M. Rangayyan,et al. Performance analysis of reversible image compression techniques for high-resolution digital teleradiology , 1992, IEEE Trans. Medical Imaging.

[3] G. Goossens,et al. Custom design of a VLSI PCM-FDM transmultiplexer from system specifications to circuit layout using a computer-aided design system , 1986 .

[4] J. H. Peters,et al. Reversible intraframe compression of medical images. , 1988, IEEE transactions on medical imaging.

[5] Manohar Das,et al. Lossless compression of medical images using two-dimensional multiplicative autoregressive models , 1993, IEEE Trans. Medical Imaging.

[6] A.K. Jain,et al. Advances in mathematical models for image processing , 1981, Proceedings of the IEEE.

[7] J. Makhoul,et al. Vector quantization in speech coding , 1985, Proceedings of the IEEE.