DocumentCode
1734242
Title
Storage- and entropy-constrained multi-stage vector quantization
Author
Hwang, Wen-Jyi ; Chen, Yen-Liang ; Chang, Yu-Chu
Author_Institution
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
Volume
1
fYear
1995
Firstpage
457
Abstract
A design algorithm for a new multistage vector quantizer, called storageand entropy-constrained multi-stage vector quantizer (SECMSVQ), is presented. In SECMSVQ, the rate constraint at each stage of the vector quantizer (VQ), and the storage size of the whole VQ are specified independently before the design. A dynamic programming technique is then used to allocate the storage size to each stage of the VQ optimally so that the quantization distortion of the VQ is minimized. The SECMSVQ, in addition to being able to control the rate and storage size independently, has the property of progressive image transmission (PIT). Simulation results show that SECMSVQ can be used effectively to implement both the signal compression systems and PIT systems
Keywords
dynamic programming; entropy; image coding; vector quantisation; visual communication; SECMSVQ; dynamic programming; entropy constrained multistage vector quantization; progressive image transmission; quantization distortion; rate constraint; signal compression systems; simulation results; storage constrained multistage VQ; storage size; vector quantizer; Algorithm design and analysis; Control systems; Image coding; Image communication; Image recognition; Image storage; Process design; Signal design; Size control; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1995. GLOBECOM '95., IEEE
Print_ISBN
0-7803-2509-5
Type
conf
DOI
10.1109/GLOCOM.1995.501969
Filename
501969
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