Size reduction of look-up table based print models

While printing is basically a binary process (put ink or not), the impression of gray values and colors can be obtained with patterns of small ink dots. The characteristics of and interactions between these dots have an important impact on the resulting print. Traditional neighbourhood look-up table based print models are practically limited to a 3 x 3 neighbourhood due to the exponential growth of the look-up table size. In this paper we propose novel techniques to reduce the size of the look-up table, which is valuable on it own, but also makes it achievable to employ neighbourboods covering more than 3 x 3 pixels. Furthermore, we observed experimentally a favourable trade-off between modelling error and dimensionality reduction.