Lossless image coding

Søren Forchhammer, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Image compression serves the purpose of reducing bandwidth or storage requirement in image applications. Lossy image compression is widely deployed, e.g., using the classic JPEG standard [21]. This standard also has a less-known lossless version. Lossless compression has the advantage of avoiding the issue whether the coding quality is sufficient. In critical applications, lossless coding may be mandatory. This includes applications where further processing is applied to the images. Examples are medical imaging, remote sensing, and space applications, where scientific fidelity is of paramount importance. In other areas such as prepress and film production, it is the visual fidelity after further processing which is of concern.

Original languageEnglish (US)
Title of host publicationDocument and Image Compression
PublisherCRC Press
Pages113-143
Number of pages31
ISBN (Electronic)9781420018837
ISBN (Print)9780849335563
StatePublished - Jan 1 2006

Fingerprint

Image coding
Image compression
Space applications
Medical imaging
Processing
Remote sensing
Bandwidth

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

Cite this

Forchhammer, S., & Memon, N. (2006). Lossless image coding. In Document and Image Compression (pp. 113-143). CRC Press.

Lossless image coding. / Forchhammer, Søren; Memon, Nasir.

Document and Image Compression. CRC Press, 2006. p. 113-143.

Research output: Chapter in Book/Report/Conference proceedingChapter

Forchhammer, S & Memon, N 2006, Lossless image coding. in Document and Image Compression. CRC Press, pp. 113-143.
Forchhammer S, Memon N. Lossless image coding. In Document and Image Compression. CRC Press. 2006. p. 113-143
Forchhammer, Søren ; Memon, Nasir. / Lossless image coding. Document and Image Compression. CRC Press, 2006. pp. 113-143
@inbook{34287478328d4500bade54492b9f90b7,
title = "Lossless image coding",
abstract = "Image compression serves the purpose of reducing bandwidth or storage requirement in image applications. Lossy image compression is widely deployed, e.g., using the classic JPEG standard [21]. This standard also has a less-known lossless version. Lossless compression has the advantage of avoiding the issue whether the coding quality is sufficient. In critical applications, lossless coding may be mandatory. This includes applications where further processing is applied to the images. Examples are medical imaging, remote sensing, and space applications, where scientific fidelity is of paramount importance. In other areas such as prepress and film production, it is the visual fidelity after further processing which is of concern.",
author = "S{\o}ren Forchhammer and Nasir Memon",
year = "2006",
month = "1",
day = "1",
language = "English (US)",
isbn = "9780849335563",
pages = "113--143",
booktitle = "Document and Image Compression",
publisher = "CRC Press",

}

TY - CHAP

T1 - Lossless image coding

AU - Forchhammer, Søren

AU - Memon, Nasir

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Image compression serves the purpose of reducing bandwidth or storage requirement in image applications. Lossy image compression is widely deployed, e.g., using the classic JPEG standard [21]. This standard also has a less-known lossless version. Lossless compression has the advantage of avoiding the issue whether the coding quality is sufficient. In critical applications, lossless coding may be mandatory. This includes applications where further processing is applied to the images. Examples are medical imaging, remote sensing, and space applications, where scientific fidelity is of paramount importance. In other areas such as prepress and film production, it is the visual fidelity after further processing which is of concern.

AB - Image compression serves the purpose of reducing bandwidth or storage requirement in image applications. Lossy image compression is widely deployed, e.g., using the classic JPEG standard [21]. This standard also has a less-known lossless version. Lossless compression has the advantage of avoiding the issue whether the coding quality is sufficient. In critical applications, lossless coding may be mandatory. This includes applications where further processing is applied to the images. Examples are medical imaging, remote sensing, and space applications, where scientific fidelity is of paramount importance. In other areas such as prepress and film production, it is the visual fidelity after further processing which is of concern.

UR - http://www.scopus.com/inward/record.url?scp=58049180466&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=58049180466&partnerID=8YFLogxK

M3 - Chapter

AN - SCOPUS:58049180466

SN - 9780849335563

SP - 113

EP - 143

BT - Document and Image Compression

PB - CRC Press

ER -