Journal Article10.1109/83.605415
A new image coding algorithm using variable-rate side-match finite-state vector quantization
Tung-Shou Chen,Chin-Chen Chang +1 more
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TL;DR: A new side-match vector quantizer, NewSMVQ, is presented, which outperforms SMVQ and CSMVQ in terms of bit rate versus image quality tradeoffs.
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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.
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References
•Book
Vector Quantization and Signal Compression
Allen Gersho,Robert M. Gray +1 more
- 01 Jan 1991
TL;DR: The author explains the design and implementation of the Levinson-Durbin Algorithm, which automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing a Quantizer.
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A better tree-structured vector quantizer
Xiaolin Wu,K. Zhang +1 more
- 08 Apr 1991
TL;DR: A new vector quantizer permits logarithmic-time encoding and yet performs better than the locally optimal quantizers generated by the LBG algorithm.
74
Image coding using variable-rate side-match finite-state vector quantization
Ruey-Feng Chang,Wen-Tsuen Chen +1 more
TL;DR: A new variable-rate side-match finite-state vector quantization with a block classifier (CSMVQ) algorithm is described, and the improvement over SMVQ can be up to 3 dB at nearly the same bit rate.
56
Side match and overlap match vector quantizers for images
TL;DR: Owing to the structure of SMVQ and OMVQ, simple variable length noiseless codes can achieve as much as 60% bit rate reduction over fixed-length noisless codes.