Parallel lossless image compression using Huffman and arithmetic coding

The authors show that high-resolution images can be encoded and decoded efficiently in parallel. They present an algorithm based on the hierarchical multi-level progressive (MLP) method, used either with Huffman coding or with a new variant of arithmetic coding called quasi-arithmetic coding. The coding step can be parallelized, even though the codes for different pixels are of different lengths; parallelization of the prediction and error modeling components is straightforward.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>