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Unified Lossy and Near-Lossless Hyperspectral Image Compression Based on JPEG 2000

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3 Author(s)
Carvajal, G. ; Dipt. di Elettron., Politec. di Torino, Turin ; Penna, B. ; Magli, E.

We propose a compression algorithm for hyperspectral images featuring both lossy and near-lossless compression. The algorithm is based on JPEG 2000 and provides better near-lossless compression performance than 3D-CALIC. We also show that its effect on the results of selected applications is negligible and, in some cases, better than JPEG 2000.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:5 ,  Issue: 4 )

Date of Publication:

Oct. 2008

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