Lossy Hyperspectral Images Coding with Exogenous Quasi Optimal Transforms

Abstract : It is well known in transform coding that the Karhunen-Loève Transform (KLT) can be suboptimal for non Gaussian sources. However in many applications using JPEG2000 Part 2 codecs, the KLT is generally considered as the optimal linear transform for reducing redundancies between components of hyperspectral images. In previous works, optimal spectral transforms (OST) compatible with the JPEG2000 Part 2 standard have been introduced, performing better than the KLT but with an heavier computational cost. In this paper, we show that the OST computed on a learning basis constituted of Hyperion hyperspectral images issued from one sensor performs very well, and even better than the KLT, on other images issued from the same sensor.
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https://hal-supelec.archives-ouvertes.fr/hal-00396967
Contributor : Sébastien van Luchene <>
Submitted on : Friday, June 19, 2009 - 11:29:01 AM
Last modification on : Monday, April 15, 2019 - 3:26:04 PM

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Michel Barret, Isidore Paul Akam Bita, Jean-Louis Gutzwiller, Florio Dalla Vedova. Lossy Hyperspectral Images Coding with Exogenous Quasi Optimal Transforms. DCC 2009, Mar 2009, Snowbird, Utah, United States. pp.411-419, ⟨10.1109/DCC.2009.8⟩. ⟨hal-00396967⟩

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