Improved probability modeling for lossless image coding using example search and adaptive prediction

Hiroki Kojima; Yasuyo Kita; Ichiro Matsuda; Susumu Itoh; Yusuke Kameda; Kyohei Unno; Kei Kawamura

doi:10.1117/12.2625972

30 April 2022 Improved probability modeling for lossless image coding using example search and adaptive prediction

Hiroki Kojima, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh, Yusuke Kameda, Kyohei Unno, Kei Kawamura

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217705 (2022) https://doi.org/10.1117/12.2625972
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

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.

Citation Download Citation

Hiroki Kojima, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh, Yusuke Kameda, Kyohei Unno, and Kei Kawamura "Improved probability modeling for lossless image coding using example search and adaptive prediction", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217705 (30 April 2022); https://doi.org/10.1117/12.2625972

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