Adaptive linear prediction for lossless coding of greyscale images
H. Ye, Guang Yi Deng, J. C. DEVLIN · 2002
We present a new prediction method for lossless image coding. In this prediction scheme, the prediction for each pixel is formed by adaptively combining the predicted values from a set of least squares based linear predictors. The combination scheme follows the main idea of the Bayesian model averaging to reduce prediction error due to model uncertainty. A lossless image coding algorithm based on this prediction method is also presented. Experimental results show that the compression performance of this algorithm is better than that of the TMW 0.51. It is also close to that of a newly improved version of TMW.