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
Link To Document :
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