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- W2016206093 abstract "When multispectral images are being losslessly 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 band is available, 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.© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2016206093 date "1999-10-18" @default.
- W2016206093 modified "2023-09-23" @default.
- W2016206093 title "<title>Lossless compression of multispectral images based on a bidirectional spectral prediction</title>" @default.
- W2016206093 doi "https://doi.org/10.1117/12.365844" @default.
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