Adaptive Prediction, Context Modeling, and Entropy Coding Methods for CALIC Lossless Image Compression
Journal
Proceedings - APCCAS 2019: 2019 IEEE Asia Pacific Conference on Circuits and Systems: Innovative CAS Towards Sustainable Energy and Technology Disruption
Pages
349-352
Date Issued
2019
Author(s)
Abstract
The three main pillars for lossless image compression are prediction, prediction residual correction and entropy coding. In this work, we propose a lossless image compression algorithm which utilizes local information to dynamically switch between different prediction techniques. Moreover, we improve on traditional prediction techniques and modify them into diagonal GAP and dynamic window weighted linear prediction. Finally, since the coding efficiency is directly proportional to the context being chosen if context arithmetic coding is applied, we propose a robust context model which utilizes local information to get better coding efficiency.
Type
conference paper