DocumentCode :
2590197
Title :
Adaptive image compression coding based on wavelet
Author :
Yan, Wang ; Yan, He ; Zhongxin, Lee
Author_Institution :
Zhengzhou Inf. Eng. Inst., China
Volume :
2
fYear :
1997
fDate :
28-31 Oct 1997
Firstpage :
1018
Abstract :
This paper focuses on an image compression method using spline wavelet transforms. Based on multiresolution pyramidical structures, different coding techniques are presented at different resolution stages and in different directions. A new correlative vector quantization method between adaptive stages (CVQAS) is mainly studied
Keywords :
adaptive codes; data compression; image coding; image resolution; splines (mathematics); vector quantisation; wavelet transforms; CVQAS; adaptive image compression; adaptive stages; correlative vector quantization method; image coding; image resolution; multiresolution pyramidical structures; spline wavelet transforms; Discrete cosine transforms; Filter bank; Finite impulse response filter; Frequency; Image coding; Signal resolution; Signal synthesis; Spline; Vector quantization; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
Type :
conf
DOI :
10.1109/ICIPS.1997.669129
Filename :
669129
Link To Document :
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