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Finite state lattice vector quantization for wavelet-based image coding

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3 Author(s)
J. Q. Ni ; Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong ; K. L. Ho ; K. W. Tse

It is well known that there exists strong energy correlation between various subbands of a real-world image. A new powerful technique of Finite State Vector Quantization (FSVQ) has been introduced to fully exploit the self-similarity of the image in wavelet domain across different scales. Lattices in RN have considerable structure, and hence, Lattice VQ offers the promise of design simplicity and reduced complexity encoding. The combination of FSVQ and LVQ gives rise to the so-called FSLVQ, which is proved to be successful in exploiting the energy correlation across scales and is simple enough in implementation

Published in:

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on  (Volume:2 )

Date of Conference:

9-12 Jun 1997