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- W1855586475 abstract "Inspired by theoretical results on universal modeling, a general framework for sequential modeling of gray-scale images is proposed and applied to lossless compression. The model is based on stochastic complexity considerations and is implemented with a tree structure. It is efficiently estimated by a modification of the universal algorithm context. The sequential, lossless compression schemes obtained when the context modeler is used with an arithmetic coder, are tested with a representative set of gray-scale images. The compression ratios are compared with those obtained with state-of-the-art algorithms available in the literature, with the results of the comparison, showing the potential of the proposed approach." @default.
- W1855586475 created "2016-06-24" @default.
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- W1855586475 date "2002-11-19" @default.
- W1855586475 modified "2023-09-27" @default.
- W1855586475 title "Applications of universal context modeling to lossless compression of gray-scale images" @default.
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- W1855586475 doi "https://doi.org/10.1109/acssc.1995.540546" @default.
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