When multispectral images are being lossessly compressed, if the inter-band correlation of the data is weak, as it usually occurs for data with few and sparse spectral bands, a 3D prediction may lead to negligible coding benefits. In this case, advantage may be taken from a bidirectional spectral prediction, in which once the (k - 1)st is available, e.g., intracoded, first the kth band is skipped and the (k + 1)st band is predicted from the (k - 1)st one; then, both these two bands are used to predict the kth band in a spatially causal but spectrally noncausal fashion. Starting from an extremely sophisticated and effective scheme for multispectral prediction based on fuzzy-logic concepts, the causal and noncausal 3D prediction strategies are compared and discussed varying with the spectral correlations of the data. Experiments on Landsat TM data show that a certain gain in bit rate can be obtained at no additional cost, by simply devising a scan order in which some bands are preliminarily skipped and then bidirectionally predicted.
Advantages of bidirectional spectral prediction for the reversible compression of multispectral data / Aiazzi, Bruno; Alparone, Luciano; Baronti, Stefano. - STAMPA. - 4:(1999), pp. 2043-2045. (Intervento presentato al convegno Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' tenutosi a Hamburg, Ger nel 28 June - 2 July 1999) [10.1109/IGARSS.1999.775026].
Advantages of bidirectional spectral prediction for the reversible compression of multispectral data
ALPARONE, LUCIANO;
1999
Abstract
When multispectral images are being lossessly compressed, if the inter-band correlation of the data is weak, as it usually occurs for data with few and sparse spectral bands, a 3D prediction may lead to negligible coding benefits. In this case, advantage may be taken from a bidirectional spectral prediction, in which once the (k - 1)st is available, e.g., intracoded, first the kth band is skipped and the (k + 1)st band is predicted from the (k - 1)st one; then, both these two bands are used to predict the kth band in a spatially causal but spectrally noncausal fashion. Starting from an extremely sophisticated and effective scheme for multispectral prediction based on fuzzy-logic concepts, the causal and noncausal 3D prediction strategies are compared and discussed varying with the spectral correlations of the data. Experiments on Landsat TM data show that a certain gain in bit rate can be obtained at no additional cost, by simply devising a scan order in which some bands are preliminarily skipped and then bidirectionally predicted.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.