Improved probability modeling for lossless image coding using example search and adaptive prediction
H. Kojima, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh, Yusuke Kameda, Kyohei Unno, Kei Kawamura · International Workshop on Advanced Imaging Technology (IWAIT) 2022 · 2022
We previously proposed a novel lossless image coding method that utilizes example search and adaptive prediction within a framework of probability model optimization. In this paper, the definition of the probability model as well as its optimization procedure are modified to reduce the encoding complexity. In addition, affine predictors used in the adaptive prediction are refined for accurate probability modeling. Simulation results indicate that our modification contributes not only to encoding time reduction, but also to coding efficiency improvement for all of the tested images.