Transform-based lossy compression has a huge potential for hyperspectral data reduction. In this paper we propose a lossy compression scheme for hyperspectral data based on a new low-complexity version of the Karhunen-Loève transform, in which complexity and performance can be balanced in a scalable way, allowing one to choose the best trade off that better matches a specific application. Moreover, we integrate this transform in the framework of Part 2 of the JPEG 2000 standard, taking advantage of the high coding efficiency of JPEG 2000, and exploiting the interoperability of an international standard.

A New Low Complexity KLT for Lossy Hyperspectral Data Compression / Penna, Barbara; Tillo, Tammam; Magli, Enrico; Olmo, Gabriella. - (2006), pp. 3525-3528. ((Intervento presentato al convegno IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS 2006. tenutosi a Denver, Colorado, USA nel July 2006 [10.1109/IGARSS.2006.904].

A New Low Complexity KLT for Lossy Hyperspectral Data Compression

PENNA, BARBARA;TILLO, TAMMAM;MAGLI, ENRICO;OLMO, Gabriella
2006

Abstract

Transform-based lossy compression has a huge potential for hyperspectral data reduction. In this paper we propose a lossy compression scheme for hyperspectral data based on a new low-complexity version of the Karhunen-Loève transform, in which complexity and performance can be balanced in a scalable way, allowing one to choose the best trade off that better matches a specific application. Moreover, we integrate this transform in the framework of Part 2 of the JPEG 2000 standard, taking advantage of the high coding efficiency of JPEG 2000, and exploiting the interoperability of an international standard.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/1531856
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