Previous Closest Neighbor (PCN) prediction has been recently proposed for lossless data compression of multispectral images, in order to take advantage of inter-band data correlation. The basic idea to predict the value of the current pixel in the current band on the basis of the best zero-order predictor on the previously coded band has been applied by extending the set of predictors to those adopted by lossless JPEG. Performances increase of more than 5% when passing from the original set of predictors to the extended set.
Reversible inter-frame compression of multispectral images based on a previous-closest-neighbor prediction / Aiazzi, B; Alba, P.S.; Alparone, L.; Baronti, S.; Guarnieri, P.. - STAMPA. - 1:(1996), pp. 460-462. (Intervento presentato al convegno 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96 tenutosi a Lincoln, NE, USA nel 28 - 31 May 1996) [10.1109/IGARSS.1996.516373].
Reversible inter-frame compression of multispectral images based on a previous-closest-neighbor prediction
ALPARONE, LUCIANO;
1996
Abstract
Previous Closest Neighbor (PCN) prediction has been recently proposed for lossless data compression of multispectral images, in order to take advantage of inter-band data correlation. The basic idea to predict the value of the current pixel in the current band on the basis of the best zero-order predictor on the previously coded band has been applied by extending the set of predictors to those adopted by lossless JPEG. Performances increase of more than 5% when passing from the original set of predictors to the extended set.
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