Lossless Compression of Continuous-Tone Images
Proceedings of the IEEE, Volume 88, No. 11 (Nov. 2000) ©Copyright. 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 Università di Salerno (Baronissi (SA) Italy).
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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.
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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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