A new image coding algorithm using variable-rate side-match finite-state vector quantization
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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.
[1] Allen Gersho,et al. Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.
[2] Wen-Tsuen Chen,et al. Image coding using variable-rate side-match finite-state vector quantization , 1993, IEEE Trans. Image Process..
[3] Kaizhong Zhang,et al. A better tree-structured vector quantizer , 1991, [1991] Proceedings. Data Compression Conference.
[4] Taejeong Kim,et al. Side match and overlap match vector quantizers for images , 1992, IEEE Trans. Image Process..