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Optical Engineering

Linear prediction in lossless compression of hyperspectral images
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Paper Abstract

This study proposes an interband version of the linear prediction approach for hyperspectral images. Linear prediction represents one of the best performing and most practical and general purpose lossless image compression techniques known today. The interband linear prediction method consists of two stages: predictive decorrelation producing residuals, and entropy coding of these residuals. Our method achieved an average compression ratio of 3.23 using 13 airborne visible/infrared imaging spectrometer (AVIRIS) images.

Paper Details

Date Published: 1 April 2003
PDF: 5 pages
Opt. Eng. 42(4) doi: 10.1117/1.1557174
Published in: Optical Engineering Volume 42, Issue 4
Show Author Affiliations
Jarno S. Mielikainen, Lappeenranta Univ. of Technology (Finland)
Pekka J. Toivanen, Lappeenranta Univ. of Technology (Finland)
Arto Kaarna, Lappeenranta Univ. of Technology (Finland)

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