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- W2950004653 abstract "Motivated by the question of whether the recently introduced Reduced Cutset Coding (RCC) offers rate-complexity performance benefits over conventional context-based conditional coding for sources with two-dimensional Markov structure, this paper compares several row-centric coding strategies that vary in the amount of conditioning as well as whether a model or an empirical table is used in the encoding of blocks of rows. The conclusion is that, at least for sources exhibiting low-order correlations, 1-sided model-based conditional coding is superior to the method of RCC for a given constraint on complexity, and conventional context-based conditional coding is nearly as good as the 1-sided model-based coding." @default.
- W2950004653 created "2019-06-27" @default.
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- W2950004653 date "2017-02-26" @default.
- W2950004653 modified "2023-09-27" @default.
- W2950004653 title "Row-Centric Lossless Compression of Markov Images" @default.
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