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Optimised feature map finite-state vector quantisation for image coding

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

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

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