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Spatially scalable image coding algorithms are mostly based on linear filtering techniques that give a multi-resolution representation of the data. Reversible cellular automata can be instead used as simpler, non-linear filter banks that give similar performance. In this paper, we investigate the use of reversible cellular automata for lossy to lossless and spatially scalable coding of smooth multi-level...
In this work, we have designed an efficient arithmetic coder for the non-linear bi-level image coder based on reversible cellular automata transform reported in the work of Cruz-Reyes and Kari (2008). The proposed approach relies on non-linear transform operations based on RmbCA, decomposing the image into four subimages (named LL, LH, HL, HH in lexicographic order) in such a way that the LL subimage...
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