DocumentCode
2829230
Title
An efficient embedded zerotree wavelet image codec based on intraband partitioning
Author
Liu, Zhen ; Karam, Lina J.
Author_Institution
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume
3
fYear
2000
fDate
2000
Firstpage
162
Abstract
Embedded zerotree wavelet (EZW) coding, introduced by J. M. Shapiro (1993) and improved in the SPIHT codec of A. Said and W.A. Pearlman (1996), is a very effective wavelet image coding method. One main concept in EZW and SPIHT is the exploitation of self-similarity across different scales of the image wavelet transform to effectively compress the image data. This paper presents an efficient and fully embedded zerotree wavelet image codec that achieves a comparable and even better performance than SPIHT by exploiting only the self-similarity within the scales (intraband self-similarity). The proposed algorithm results in a simpler implementation and in a more efficient representation of the ordering information than SPIHT. Coding results are presented to illustrate the performance of the proposed embedded wavelet image codec
Keywords
codecs; data compression; fractals; image coding; transform coding; wavelet transforms; EZW coding; SPIHT; embedded zerotree wavelet coding; image codec; image compression; intraband partitioning; intraband self-similarity; wavelet image coding; wavelet transform; Codecs; Context; Ergonomics; Image coding; Internet; Scalability; Sorting; Video compression; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899320
Filename
899320
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