A new image coding algorithm using variable-rate side-match finite-state vector quantization

Authors:
Tung-Shou Chen;Chin-Chen Chang
Affiliations:
Dept. of Inf. Manage., Nat. Chin-Yi Inst. of Technol., Taichung;-
Venue:
IEEE Transactions on Image Processing
Year:
1997

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Abstract

A new side-match vector quantizer, NewSMVQ, is presented in this paper. Three techniques are incorporated to improve the image quality, encoding speed, and bit rate for compressing images. The experimental result shows: i) the encoding time of NewSMVQ is almost 7 times faster than that of SMVQ (ordinary fixed-rate side-match vector quantizer) and CSMVQ (variable-rate SMVQ) and ii) NewSMVQ outperforms SMVQ and CSMVQ in terms of bit rate versus image quality tradeoffs