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We describe a highly scalable parallel arithmetic coder for Markov inputs suitable for implementation on modern multi-core processors. The algorithm divides the input into interleaved sub-sequences which can be then processed independently on different processing units using LDPC-based Slepian-Wolf coding. Experimental simulations show good scalability of the proposed algorithm while also maintaining...
We describe an image coding algorithm combining the DCT and noiselet information. The algorithm first transmits DCT information sufficient to reproduce a "low-quality" version of the image at the decoder. This image is then used both at the decoder and encoder to create a mutually known list of locations of likely significant noiselet coefficients. The coefficient values themselves are then...
We present a simple source coding algorithm for independent and identically distributed (i.i.d.) sources that gives coding efficiency performance close to that of arithmetic coding, but with much lower computational complexity and much higher robustness to mismatches between the assumed and actual symbol probabilities. The method is based on the principle that the probability of occurrence of a symbol...
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