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Optimised feature map finite-state vector quantisation for image coding

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3 Author(s)
Zhu, C. ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Po, L.M. ; Hua, Y.

An optimised feature map finite-state vector quantisation (referred to as optimised FMFSVQ) is presented for image coding. Based on the block-based gradient descent search algorithm used for motion estimation in video coding, the optimised FMFSVQ system finds a neighbourhood-based optimal codevector for each input vector by extending the associated state codebook stage by stage, thus rendering each state quantiser a variable rate vector quantisation. The optimised FMFSVQ system can be interpreted as a cascade of a finite-state vector quantiser and classified vector quantisers. Furthermore, an adaptive optimised FMFSVQ is obtained. Experiments demonstrate the superior rate-distortion performance of the adaptive optimised FMFSVQ compared with the original adaptive FMFSVQ and the memoryless vector quantisation

Published in:

Vision, Image and Signal Processing, IEE Proceedings -  (Volume:147 ,  Issue: 3 )

Date of Publication:

Jun 2000

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