Title :
A new image coding algorithm using variable-rate side-match finite-state vector quantization
Author :
Tung-Shou Chen ; Chin-Chen Chang
Author_Institution :
Dept. of Inf. Manage., Nat. Chin-Yi Inst. of Technol., Taichung
fDate :
8/1/1997 12:00:00 AM
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
Keywords :
finite automata; image coding; vector quantisation; CSMVQ; NewSMVQ; SMVQ; bit rate; encoding speed; encoding time; image coding algorithm; image compression; image quality; ordinary fixed-rate side-match vector quantizer; variable-rate side-match finite-state vector quantization; Bit rate; Decoding; Distortion measurement; Euclidean distance; Image coding; Image quality; Image storage; Information management; Principal component analysis; Vector quantization;
Journal_Title :
Image Processing, IEEE Transactions on
