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dc.contributor.authorHoward, Paul G.
dc.contributor.authorVitter, Jeffrey Scott
dc.date.accessioned2011-03-21T18:19:57Z
dc.date.available2011-03-21T18:19:57Z
dc.date.issued1996
dc.identifier.citationP. G. Howard and J. S. Vitter. “Parallel Lossless Image Compression Using Huffman and Arithmetic Coding,” Information Processing Letters, 59, 1996, 65–73. An extended abstract appears in Proceedings of the 1992 IEEE Data Compression Conference (DCC ’92), Snowbird, UT, March 1992, 299–308. http://dx.doi.org/10.1016/0020-0190(96)00090-7
dc.identifier.urihttp://hdl.handle.net/1808/7207
dc.description.abstractWe show that high-resolution images can be encoded and decoded e ciently in parallel. We present an algorithm based on the hierarchical MLP method, used either with Hu man coding or with a new variant of arithmetic coding called quasi-arithmetic coding. The coding step can be parallelized, even though the codes for di erent pixels are of di erent lengths; parallelization of the prediction and error modeling components is straightforward.
dc.language.isoen_US
dc.publisherElsevier
dc.subjectData compression
dc.subjectHuffman coding
dc.subjectArithmetic coding
dc.subjectParallel algorithms
dc.titleParallel Lossless Image Compression Using Huffman and Arithmetic Coding
dc.typeArticle
kusw.kuauthorVitter, Jeffrey Scott
kusw.oastatusfullparticipation
dc.identifier.doi10.1016/0020-0190(96)00090-7
kusw.oaversionScholarly/refereed, author accepted manuscript
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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