Reversible Inter-Frame Compression of Multispectral Images Based on a Previous-Closest-Neighbor Prediction

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.