An algorithmic study on context modelling for lossless image compression

Statistical context modelling is a powerful and versatile technique for lossless image coding. A key issue in context modelling is how to increase the order of model without drastically increasing the model cost. We take an algorithmic approach to address the issue and propose a few heuristical optimization techniques that fine tune models of relatively few parameters in the sense of entropy minimization. Our experimental results indicate that …