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Proceedings Paper

Wavelet image compression based on bit-plane context and its application to remote sensing images
Author(s): Qingyuan Wang; Runhai Jiao; Yuancheng Li; Bo Li
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Paper Abstract

A novel wavelet image compression scheme is proposed in this paper. The scheme is based on bit-plane context and adaptive arithmetic coding. Parent coefficient and parent neighboring coefficients of current coding coefficient are used to construct context models besides its neighboring coefficients. Higher order entropy is sufficiently employed. Experimental results show that the scheme is among the best image coders for natural images and remote sensing images.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59853C (4 January 2006); doi: 10.1117/12.657971
Show Author Affiliations
Qingyuan Wang, Beihang Univ. (China)
Runhai Jiao, Beihang Univ. (China)
Yuancheng Li, Beihang Univ. (China)
Bo Li, Beihang Univ. (China)

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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