Lossy Image Compression: JPEG and JPEG2000 Standards

Rashid Ansari; Christine Guillemot; Nasir Memon

doi:10.1016/B978-012119792-6/50105-4

Lossy Image Compression: JPEG and JPEG2000 Standards

Rashid Ansari, Christine Guillemot, Nasir Memon

Center for Cyber Security

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

JPEG lossy compression entails an irreversible mapping of the image to a compressed bit stream, but the standard provides mechanisms for a controlled loss of information. Lossy compression produces a bit stream that is usually much smaller in size than that produced with lossless compression. This chapter describes the structure of the JPEG codec and its units. It examines the role and computation of the discrete cosine transform. Procedures for quantizing the DCT coefficients are also presented followed by a description on the mapping of the quantized DCT coefficients into symbols suitable for entropy coding. Syntactic issues, organization of data units, and alternative modes of operation such as the progressive and hierarchical modes have also been discussed in the chapter.

Original language	English (US)
Title of host publication	Handbook of Image and Video Processing
Publisher	Elsevier Inc.
Pages	709-731
Number of pages	23
ISBN (Print)	9780121197926
DOIs	https://doi.org/10.1016/B978-012119792-6/50105-4
State	Published - 2005

ASJC Scopus subject areas

Computer Science(all)

Access to Document

10.1016/B978-012119792-6/50105-4

Cite this

@inbook{e4df9b754a264e03be2f9e27c3d43ede,

title = "Lossy Image Compression: JPEG and JPEG2000 Standards",

abstract = "JPEG lossy compression entails an irreversible mapping of the image to a compressed bit stream, but the standard provides mechanisms for a controlled loss of information. Lossy compression produces a bit stream that is usually much smaller in size than that produced with lossless compression. This chapter describes the structure of the JPEG codec and its units. It examines the role and computation of the discrete cosine transform. Procedures for quantizing the DCT coefficients are also presented followed by a description on the mapping of the quantized DCT coefficients into symbols suitable for entropy coding. Syntactic issues, organization of data units, and alternative modes of operation such as the progressive and hierarchical modes have also been discussed in the chapter.",

author = "Rashid Ansari and Christine Guillemot and Nasir Memon",

year = "2005",

doi = "10.1016/B978-012119792-6/50105-4",

language = "English (US)",

isbn = "9780121197926",

pages = "709--731",

booktitle = "Handbook of Image and Video Processing",

publisher = "Elsevier Inc.",

}

TY - CHAP

T1 - Lossy Image Compression

T2 - JPEG and JPEG2000 Standards

AU - Ansari, Rashid

AU - Guillemot, Christine

AU - Memon, Nasir

PY - 2005

Y1 - 2005

N2 - JPEG lossy compression entails an irreversible mapping of the image to a compressed bit stream, but the standard provides mechanisms for a controlled loss of information. Lossy compression produces a bit stream that is usually much smaller in size than that produced with lossless compression. This chapter describes the structure of the JPEG codec and its units. It examines the role and computation of the discrete cosine transform. Procedures for quantizing the DCT coefficients are also presented followed by a description on the mapping of the quantized DCT coefficients into symbols suitable for entropy coding. Syntactic issues, organization of data units, and alternative modes of operation such as the progressive and hierarchical modes have also been discussed in the chapter.

AB - JPEG lossy compression entails an irreversible mapping of the image to a compressed bit stream, but the standard provides mechanisms for a controlled loss of information. Lossy compression produces a bit stream that is usually much smaller in size than that produced with lossless compression. This chapter describes the structure of the JPEG codec and its units. It examines the role and computation of the discrete cosine transform. Procedures for quantizing the DCT coefficients are also presented followed by a description on the mapping of the quantized DCT coefficients into symbols suitable for entropy coding. Syntactic issues, organization of data units, and alternative modes of operation such as the progressive and hierarchical modes have also been discussed in the chapter.

UR - http://www.scopus.com/inward/record.url?scp=34547355488&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547355488&partnerID=8YFLogxK

U2 - 10.1016/B978-012119792-6/50105-4

DO - 10.1016/B978-012119792-6/50105-4

M3 - Chapter

AN - SCOPUS:34547355488

SN - 9780121197926

SP - 709

EP - 731

BT - Handbook of Image and Video Processing

PB - Elsevier Inc.

ER -

Lossy Image Compression: JPEG and JPEG2000 Standards

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this