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Lossless Compression of Continuous-Tone Images

Proceedings of the IEEE, Volume 88, No. 11 (Nov. 2000) ęCopyright. 2000, IEEE.

by Marcelo J. Weinberger and Gadiel Seroussi of HP Labs' Information Theory Research Group (Palo Alto, CA, USA) and Bruno Carpentieri of the UniversitÓ di Salerno (Baronissi (SA) Italy).

This paper surveys some of the recent advances in lossless compression of continuous-tone images, discussing the modeling paradigms underlying the state-of-the-art algorithms and the principles guiding their design. The algorithms are described and experimentally compared.
Read the full paper here. Requires Adobe Acrobat.

About the Authors:

Marcelo J. Weinberger is a department scientist with HP Labs, Advanced Studies, where his research encompasses topics in information theory, particularly source coding and statistical modeling. He is a co-author of the algorithm at the core of the recent JPEG-LS lossless image compression standard, as well as a contributor to the coding algorithm of the JPEG-2000 standard.
Currently, Dr. Weinberger is working on the application of source coding techniques to various sequential decision problems. He is an associate editor for source coding for the IEEE Transactions on Information Theory.

Gadiel Seroussi is Director of Information Theory Research at Hewlett-Packard Laboratories. He is a co-author of the algorithm at the core of the recent JPEG-LS lossless image compression standard, as well as a contributor to the coding algorithm of the JPEG-2000 standard. Dr. Seroussi is a Fellow of the IEEE, cited "for contributions to the theory and practice of error correction and data compression algorithms and architectures."
His research interests include the mathematical foundations and practical applications of information theory, error correcting codes, data and image compression and cryptography.

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