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