DocumentCode
1740059
Title
An image compression algorithm based on hybrid coding
Author
Ren, Wang ; Bo, Li
Author_Institution
Dept. of Comput. Sci., Beijing Univ. of Aeronaut. & Astronaut., China
Volume
1
fYear
2000
fDate
2000
Firstpage
380
Abstract
Zerotree, bit plane and arithmetic coding are widely used in image compression algorithms based on the wavelet transform. By exploiting the correlation among wavelet coefficients and combining the zerotree, bit plane and arithmetic coding, this paper presents compression algorithm, BPP (context-based zeortree and bit plane prediction coding). Experimental results illustrate that it performs better than EZW and SPIHT
Keywords
arithmetic codes; data compression; image coding; prediction theory; transform coding; tree codes; wavelet transforms; EZW; SPIHT; arithmetic coding; bit plane coding; bit plane prediction coding; context-based zeortree coding; hybrid coding; image compression algorithm; wavelet coefficients correlation; wavelet transform; Computer science; Costs; Digital arithmetic; Image coding; Image resolution; Kernel; Probability; Spatial resolution; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.894514
Filename
894514
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