Data Compression Conference (DCC'05) Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages Snowbird, Utah March 29-March 31 ISBN: 0-7695-2309-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2005.51
In this paper, we propose a compression algorithm focused on the peculiarities of hyperspectral images. The spectral redundancy in hyperspectral images is exploited by using a context matching method driven by the correlation between adjacent bands of hyperspectral spectral images. The method compares favorably with recent proposed lossless compression algorithms in terms of compression, with significantly lower complexity.
Citation:
Hongqiang Wang, S. Derin Babacan, Khalid Sayood, "Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages," dcc, pp.418-426, Data Compression Conference (DCC'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||