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
Link To Document :
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