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