Reversible inter-frame compression of multispectral images based on a previous-closest-neighbor prediction

Previous closest neighbor (PCN) prediction has prevously been 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 more than 5% when passing from the original set of predictors to the extended set.