Compression of multidimensional images using JPEG2000

Hariharan G. Lalgudi, Ali Bilgin, Michael W Marcellin, Mariappan S. Nadar

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

JPEG2000 Part 2 supports the use of multicomponent transforms (MCTs) to decorrelate multicomponent images along the component direction. Such point transforms can be performed on arbitrary subsets of components, known as "component collections." These Part 2 extensions have been used for compressing 3-D images in applications such as medical imaging and remote sensing. It is widely believed that the MCT extensions are applicable only to 3-D data. In this letter, we demonstrate their use for compressing N-D datasets for any N ges 3.

Original languageEnglish (US)
Pages (from-to)393-396
Number of pages4
JournalIEEE Signal Processing Letters
Volume15
DOIs
StatePublished - 2008

Fingerprint

JPEG2000
Medical imaging
Remote sensing
Compression
Transform
Medical Imaging
3D Image
Remote Sensing
3D
Subset
Arbitrary
Demonstrate

Keywords

  • JPEG2000
  • Multidimensional image compression

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics

Cite this

Compression of multidimensional images using JPEG2000. / Lalgudi, Hariharan G.; Bilgin, Ali; Marcellin, Michael W; Nadar, Mariappan S.

In: IEEE Signal Processing Letters, Vol. 15, 2008, p. 393-396.

Research output: Contribution to journalArticle

Lalgudi, Hariharan G. ; Bilgin, Ali ; Marcellin, Michael W ; Nadar, Mariappan S. / Compression of multidimensional images using JPEG2000. In: IEEE Signal Processing Letters. 2008 ; Vol. 15. pp. 393-396.
@article{e3f8f372e6234de3adae3327b3b2515b,
title = "Compression of multidimensional images using JPEG2000",
abstract = "JPEG2000 Part 2 supports the use of multicomponent transforms (MCTs) to decorrelate multicomponent images along the component direction. Such point transforms can be performed on arbitrary subsets of components, known as {"}component collections.{"} These Part 2 extensions have been used for compressing 3-D images in applications such as medical imaging and remote sensing. It is widely believed that the MCT extensions are applicable only to 3-D data. In this letter, we demonstrate their use for compressing N-D datasets for any N ges 3.",
keywords = "JPEG2000, Multidimensional image compression",
author = "Lalgudi, {Hariharan G.} and Ali Bilgin and Marcellin, {Michael W} and Nadar, {Mariappan S.}",
year = "2008",
doi = "10.1109/LSP.2008.922285",
language = "English (US)",
volume = "15",
pages = "393--396",
journal = "IEEE Signal Processing Letters",
issn = "1070-9908",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Compression of multidimensional images using JPEG2000

AU - Lalgudi, Hariharan G.

AU - Bilgin, Ali

AU - Marcellin, Michael W

AU - Nadar, Mariappan S.

PY - 2008

Y1 - 2008

N2 - JPEG2000 Part 2 supports the use of multicomponent transforms (MCTs) to decorrelate multicomponent images along the component direction. Such point transforms can be performed on arbitrary subsets of components, known as "component collections." These Part 2 extensions have been used for compressing 3-D images in applications such as medical imaging and remote sensing. It is widely believed that the MCT extensions are applicable only to 3-D data. In this letter, we demonstrate their use for compressing N-D datasets for any N ges 3.

AB - JPEG2000 Part 2 supports the use of multicomponent transforms (MCTs) to decorrelate multicomponent images along the component direction. Such point transforms can be performed on arbitrary subsets of components, known as "component collections." These Part 2 extensions have been used for compressing 3-D images in applications such as medical imaging and remote sensing. It is widely believed that the MCT extensions are applicable only to 3-D data. In this letter, we demonstrate their use for compressing N-D datasets for any N ges 3.

KW - JPEG2000

KW - Multidimensional image compression

UR - http://www.scopus.com/inward/record.url?scp=67650239767&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650239767&partnerID=8YFLogxK

U2 - 10.1109/LSP.2008.922285

DO - 10.1109/LSP.2008.922285

M3 - Article

VL - 15

SP - 393

EP - 396

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

ER -