Paper
4 January 2006 Wavelet image compression based on bit-plane context and its application to remote sensing images
Qingyuan Wang, Runhai Jiao, Yuancheng Li, Bo Li
Author Affiliations +
Proceedings Volume 5985, International Conference on Space Information Technology; 59853C (2006) https://doi.org/10.1117/12.657971
Event: International Conference on Space information Technology, 2005, Wuhan, China
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qingyuan Wang, Runhai Jiao, Yuancheng Li, and Bo Li "Wavelet image compression based on bit-plane context and its application to remote sensing images", Proc. SPIE 5985, International Conference on Space Information Technology, 59853C (4 January 2006); https://doi.org/10.1117/12.657971
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KEYWORDS
Image compression

Wavelets

Wavelet transforms

Remote sensing

JPEG2000

Data modeling

Reconstruction algorithms

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