History - Based Blending of Image Sub -
نویسندگان
چکیده
In this paper we describe a new lossless image compression algorithm called HBB. HBB has been designed to see how much further we can push the current one-pass DPCM approach to lossless image coding. Its features include a novel scan ordering and a complex adaptive history-based mechanism which blends sub-predictors for prediction. Its performance is not sensitive to the values of its parameters, and it extends easily to diierent pixel depths. We show HBB to out-perform current state-of-the-art lossless codecs, but at a computational cost.
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