DocumentCode :
2303684
Title :
Context modeling and entropy coding of wavelet coefficients for image compression
Author :
Wu, Xiaolin ; Chen, Jian-hua
Author_Institution :
Dept. of Comput. Sci., Univ. of Western Ontario, Ont., Canada
Volume :
4
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
3097
Abstract :
In this paper we study the problem of context modeling and entropy coding of the symbol streams generated by the well-known EZW image coder (embedded image coding using zerotrees of wavelet coefficients). We present some simple context modeling techniques that can squeeze out more statistical redundancy in the wavelet coefficients of EZW-type image coders and hence lead to improved coding efficiency
Keywords :
adaptive codes; data compression; entropy codes; image coding; quadtrees; redundancy; transform coding; wavelet transforms; EZW image coder; coding efficiency; context modeling; embedded image coding; entropy coding; image compression; statistical redundancy; symbol streams; wavelet coefficients; zerotrees; Computer science; Context modeling; Entropy coding; Image coding; Image reconstruction; Quantization; Streaming media; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.595447
Filename :
595447
Link To Document :
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