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Algorithms for lossless and lossy compression of hyperspectral images are presented. To greatly reduce the bit rate required to code images and to exploit the large amount of inter-band correlation , linear prediction between the bands is used. Each band, except the first one, is predicted by previously transmitted band. Once the prediction is formed, it is(More)
Algorithms for near-lossless compression of hyperspectral images are presented. They guarantee that the intensity of any pixel in the decompressed image(s) differs from its original value by no more than a user-specified quantity To reduce the bit rate required to code images while providing significantly more compression than lossless algorithms, linear(More)
JPEG-2000, the successor to JPEG, is emerging as an attractive candidate for the future de facto image compression standard. However, while it offers superior results over most other image compression techniques, it comes with a long list of features and options, and consequently a highly complex algorithm. We have developed an image coder that can compete(More)
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