Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages

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http://doi.ieeecomputersociety.org/10.1109/DCC.2005.51

Data Compression Conference (DCC'05)

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	Hongqiang Wang, S. Derin Babacan, Khalid Sayood, "Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages," Data Compression Conference, pp. 418-426, Data Compression Conference (DCC'05), 2005.

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	@article{ 10.1109/DCC.2005.51, author = {Hongqiang Wang and S. Derin Babacan and Khalid Sayood}, title = {Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages}, journal ={Data Compression Conference}, volume = {0}, year = {2005}, issn = {1068-0314}, pages = {418-426}, doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2005.51}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

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	TY - CONF JO - Data Compression Conference TI - Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages SN - 1068-0314 SP418 EP426 A1 - Hongqiang Wang, A1 - S. Derin Babacan, A1 - Khalid Sayood, PY - 2005 KW - null VL - 0 JA - Data Compression Conference ER -

Hongqiang Wang, University of Nebraska-Lincoln

S. Derin Babacan, Northwestern University

Khalid Sayood, University of Nebraska-Lincoln

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

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