L∞-Constrained near-lossless image compression using weighted finite automata encoding

In this paper we study high-fidelity image compression with a given tight bound on the maximum error magnitude. We propose an L∞-constrained weighted finite automata recursive encoding scheme on the adaptive context modelling based quantizing prediction residue images. By incorporating the proposed L∞-constrained WFA encoding techniques into the context modelling based nearly-lossless CALIC, we were able to increase its PSNR by 2 dB or more and …