TCQ in JPEG 2000

Troy T. Chinen; Thomas J. Flohr; Michael W. Marcellin

doi:10.1117/12.411575

TCQ in JPEG 2000

Troy T. Chinen, Thomas J. Flohr, Michael W. Marcellin

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A baseline mode of Trellis coded quantization (TCQ) is described as used in JPEG 2000 along with the results of visual evaluations which demonstrate TCQ effectiveness over scalar quantization (SQ). Furthermore, a reduced complexity TCQ mode is developed and described in detail. Numerical and visual evaluations indicate that compression performance is nearly identical to baseline TCQ, but with greatly reduced memory footprint and increased progressive image decoding facilities.

Original language	English (US)
Pages (from-to)	552-560
Number of pages	9
Journal	Proceedings of SPIE-The International Society for Optical Engineering
Volume	4115
DOIs	https://doi.org/10.1117/12.411575
State	Published - 2000
Externally published	Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.411575

Cite this

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title = "TCQ in JPEG 2000",

abstract = "A baseline mode of Trellis coded quantization (TCQ) is described as used in JPEG 2000 along with the results of visual evaluations which demonstrate TCQ effectiveness over scalar quantization (SQ). Furthermore, a reduced complexity TCQ mode is developed and described in detail. Numerical and visual evaluations indicate that compression performance is nearly identical to baseline TCQ, but with greatly reduced memory footprint and increased progressive image decoding facilities.",

author = "Chinen, {Troy T.} and Flohr, {Thomas J.} and Marcellin, {Michael W.}",

year = "2000",

doi = "10.1117/12.411575",

language = "English (US)",

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AU - Flohr, Thomas J.

AU - Marcellin, Michael W.

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AB - A baseline mode of Trellis coded quantization (TCQ) is described as used in JPEG 2000 along with the results of visual evaluations which demonstrate TCQ effectiveness over scalar quantization (SQ). Furthermore, a reduced complexity TCQ mode is developed and described in detail. Numerical and visual evaluations indicate that compression performance is nearly identical to baseline TCQ, but with greatly reduced memory footprint and increased progressive image decoding facilities.

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M3 - Article

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JO - Proceedings of SPIE-The International Society for Optical Engineering

JF - Proceedings of SPIE-The International Society for Optical Engineering

ER -

TCQ in JPEG 2000

Abstract

ASJC Scopus subject areas

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