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Peculiarities of hyperspectral image lossy compression for sub-band groups

Abstract : This paper deals with analysis of component-wise and three-dimensional (3D) lossy compression of hyperspectral data. The latter approach is known to be more efficient due to possibility to employ inter-band correlation of images in neighbor sub-bands. However, there are certain peculiarities for this approach which are subject of our study. Methods of lossy compression that employ discrete cosine transform (DCT) in blocks are studied. It is shown that 3D compression is able to provide considerable benefits in compression ratio and/or mean square error (MSE) of introduced distortions but only under certain conditions. Experiments have been done for real-life hyperspectral data with high input signal-to-noise ratio. Their main results are presented. © 2019 IEEE.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-02399667
Contributor : Laurent Jonchère <>
Submitted on : Monday, December 9, 2019 - 11:05:53 AM
Last modification on : Wednesday, October 14, 2020 - 3:53:05 AM

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A. Zemliachenko, O. Ieremeiev, V. Lukin, B. Vozel. Peculiarities of hyperspectral image lossy compression for sub-band groups. 2nd IEEE Ukraine Conference on Electrical and Computer Engineering, UKRCON 2019, Jul 2019, Lviv, Ukraine. pp.918-923, ⟨10.1109/UKRCON.2019.8880030⟩. ⟨hal-02399667⟩

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