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 prediict 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
B Aiazzi;L Alparone;S Baronti;
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 prediict 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.File in questo prodotto:
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