Lossless coding of still images using minimum-rate predictors

We propose a novel method for designing linear predictors and apply it to a lossless image coding scheme. In general, the minimum mean square error (MMSE) is an important concept in image coding. However, predictors which are optimized on the basis of the MSE criterion are not necessarily optimum from a viewpoint of coding efficiency. Thereupon our method optimizes a predictor so that a cost function which represents the amount of information on prediction errors can have a minimum. Simulation results indicate that the proposed coding scheme is superior to the coding scheme which utilizes the conventional MMSE predictors in terms of coding efficiency