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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 ...
Paul Bao, Xiaolin Wu: Linfin-Constrained near-lossless image compression using weighted finite automata encoding. Comput. Graph. 22(2-3): 217-223 (1998).
L-constrained near-lossless image compression using weighted finite automata encoding. By: Bao, Paul. MARC View; ISBD View; Holdings. 000 -LEADER. fixed length ...
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We study high-fidelity image compression with a given tight L<sub>∞</sub> bound. We propose some practical adaptive context modeling techniques to correct ...
Linfin-Constrained near-lossless image compression using weighted finite automata encoding · P. BaoXiaolin Wu. Computer Science. Comput. Graph. 1998. 7 ...
We propose a novel joint lossy image and residual compression framework for learning ℓ∞-constrained near- lossless image compression.
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Wu, "Near-lossless Image Compression Schemes based on Weighted Finite Automata. Encoding and Adaptive Context Modeling", IEEE Proceedings, Compression and ...
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Apr 1, 2004 · Refinements of data compression using weighted finite automata. PhD ... Topics in fractal image compression and near-lossless image coding ...
Among the aforementioned `∞-constrained image coders, near-lossless CALIC achieves the highest compression performance when τ ≤ 3 [5]. Further ...
Linfin-Constrained near-lossless image compression using weighted finite automata encoding · hmtl icon · Paul Bao, Xiaolin Wu. Published: 31 Dec 1997, Last ...