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
Link To Document :
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