Memory efficient scalable line-based image coding

Erik Ordentlich; David Taubman; Marcelo Weinberger; Gadiel Seroussi; Michael W. Marcellin

doi:10.1109/dcc.1999.755671

Memory efficient scalable line-based image coding

Erik Ordentlich, David Taubman, Marcelo Weinberger, Gadiel Seroussi, Michael W. Marcellin

Research output: Contribution to journal › Conference article › peer-review

12 Scopus citations

Abstract

We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.

Original language	English (US)
Pages (from-to)	218-227
Number of pages	10
Journal	Data Compression Conference Proceedings
DOIs	https://doi.org/10.1109/dcc.1999.755671
State	Published - 1999
Externally published	Yes
Event	Proceedings of the 1999 Data Compression Conference, DCC-99 - Snowbird, UT, USA Duration: Mar 29 1999 → Mar 31 1999

ASJC Scopus subject areas

Computer Networks and Communications

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10.1109/dcc.1999.755671

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journal = "Data Compression Conference Proceedings",

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AU - Ordentlich, Erik

AU - Taubman, David

AU - Weinberger, Marcelo

AU - Seroussi, Gadiel

AU - Marcellin, Michael W.

PY - 1999

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N2 - We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.

AB - We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity vs. coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.

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JO - Data Compression Conference Proceedings

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T2 - Proceedings of the 1999 Data Compression Conference, DCC-99

Y2 - 29 March 1999 through 31 March 1999

ER -

Memory efficient scalable line-based image coding

Abstract

ASJC Scopus subject areas

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