부산대학교 도서관

This paper proposes a novel lossless image coding method which directly estimates a probability distribution of image intensity values on a pel-by-pel basis. In the estimation process, several examples, i.e. a set of pels whose neighborhoods are similar to a local texture of the target pel to be encoded, are gathered from a search window located on an already encoded part of the same image. Then the probability distribution is modeled as a weighted sum of the Gaussian functions whose center positions are given by the individual examples. Furthermore, model parameters that control shapes of the Gaussian functions are numerically optimized so that the resulting coding rate of the image intensity values can be a minimum. Simulation results indicate that the proposed method provides comparable coding performance to the state-of-the-art lossless coding schemes proposed by other researchers.