Application of multichannel 2-D linear prediction to color image coding

Multichannel 2-D linear prediction and its application to predictive coding of color images are described. Two algorithms are compared. In the first the whole frame of the image is divided into subframes and predictor coefficients are computed separately for each. In the second, predictor coefficients are obtained for the whole frame of the image. Both methods have the disadvantage that the coefficients must be computed in real time and transmitted to the receiver as side information, which significantly increases the complexity of the coding system. An alternative is considered that uses a fixed set of prediction matrices, i.e. a set that does not depend on the specific image being coded. In this way both receiver and transmitter have linear prediction matrices and no side information has to be transmitted. Such prediction matrices can be generated by various averaging methods discussed. The results of this coding are compared to that resulting from the previous two methods