Adaptive predictor combination for lossless image coding

This paper is concerned with adaptive prediction for lossless image coding. A new predictor which is an adaptive combination of a set of fixed predictors with a transform domain LMS based predictor is proposed. When a context-based arithmetic encoder is used to encode the prediction error, the compression performance of the proposed algorithm is better than that of the state-of-the-art algorithms and is close to TMW at a fraction of its computational complexity.