An overview of quantization in JPEG 2000

Michael W. Marcellin; Margaret A. Lepley; Ali Bilgin; Thomas J. Flohr; Troy T. Chinen; James H. Kasner

doi:10.1016/S0923-5965(01)00027-3

An overview of quantization in JPEG 2000

Michael W. Marcellin, Margaret A. Lepley, Ali Bilgin, Thomas J. Flohr, Troy T. Chinen, James H. Kasner

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

74 Scopus citations

Abstract

Quantization is instrumental in enabling the rich feature set of JPEG 2000. Several quantization options are provided within JPEG 2000. Part I of the standard includes only uniform scalar dead-zone quantization, while Part II allows both generalized uniform scalar dead-zone quantization and trellis coded quantization (TCQ). In this paper, an overview of these quantization methods is provided. Issues that arise when each of these methods are employed are discussed as well.

Original language	English (US)
Pages (from-to)	73-84
Number of pages	12
Journal	Signal Processing: Image Communication
Volume	17
Issue number	1
DOIs	https://doi.org/10.1016/S0923-5965(01)00027-3
State	Published - Jan 2002

Keywords

Dead-zone quantization
JPEG 2000
Trellis coded quantization (TCQ)
Uniform quantization

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/S0923-5965(01)00027-3

Cite this

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An overview of quantization in JPEG 2000

Abstract

Keywords

ASJC Scopus subject areas

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