Colour image coding with matching pursuit in the spatio-frequency domain

Ryszard Maciol; Yuan Yuan; Ian T. Nabney

doi:10.1007/978-3-642-24085-0_32

Colour image coding with matching pursuit in the spatio-frequency domain

Ryszard Maciol
, Yuan Yuan
, Ian T. Nabney

Aston University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We present and evaluate a novel idea for scalable lossy colour image coding with Matching Pursuit (MP) performed in a transform domain. The idea is to exploit correlations in RGB colour space between image subbands after wavelet transformation rather than in the spatial domain. We propose a simple quantisation and coding scheme of colour MP decomposition based on Run Length Encoding (RLE) which can achieve comparable performance to JPEG 2000 even though the latter utilises careful data modelling at the coding stage. Thus, the obtained image representation has the potential to outperform JPEG 2000 with a more sophisticated coding algorithm.

Original language	English
Title of host publication	Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings
Publisher	Springer Verlag
Pages	306-317
Number of pages	12
Edition	PART 1
ISBN (Print)	9783642240843
DOIs	https://doi.org/10.1007/978-3-642-24085-0_32
State	Published - 2011
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6978 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Colour image coding
Matching Pursuit
Run Length Encoding
Wavelets

Access to Document

10.1007/978-3-642-24085-0_32

Cite this

Maciol, R., Yuan, Y., & Nabney, I. T. (2011). Colour image coding with matching pursuit in the spatio-frequency domain. In Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings (PART 1 ed., pp. 306-317). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6978 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-24085-0_32

Maciol, Ryszard ; Yuan, Yuan ; Nabney, Ian T. / Colour image coding with matching pursuit in the spatio-frequency domain. Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2011. pp. 306-317 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{ebd8dde5579b48eeaded09762965a413,

title = "Colour image coding with matching pursuit in the spatio-frequency domain",

abstract = "We present and evaluate a novel idea for scalable lossy colour image coding with Matching Pursuit (MP) performed in a transform domain. The idea is to exploit correlations in RGB colour space between image subbands after wavelet transformation rather than in the spatial domain. We propose a simple quantisation and coding scheme of colour MP decomposition based on Run Length Encoding (RLE) which can achieve comparable performance to JPEG 2000 even though the latter utilises careful data modelling at the coding stage. Thus, the obtained image representation has the potential to outperform JPEG 2000 with a more sophisticated coding algorithm.",

keywords = "Colour image coding, Matching Pursuit, Run Length Encoding, Wavelets",

author = "Ryszard Maciol and Yuan Yuan and Nabney, \{Ian T.\}",

year = "2011",

doi = "10.1007/978-3-642-24085-0\_32",

language = "英语",

isbn = "9783642240843",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 1",

pages = "306--317",

booktitle = "Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings",

edition = "PART 1",

}

Maciol, R, Yuan, Y & Nabney, IT 2011, Colour image coding with matching pursuit in the spatio-frequency domain. in Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6978 LNCS, Springer Verlag, pp. 306-317. https://doi.org/10.1007/978-3-642-24085-0_32

Colour image coding with matching pursuit in the spatio-frequency domain. / Maciol, Ryszard; Yuan, Yuan; Nabney, Ian T.
Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2011. p. 306-317 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6978 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Colour image coding with matching pursuit in the spatio-frequency domain

AU - Maciol, Ryszard

AU - Yuan, Yuan

AU - Nabney, Ian T.

PY - 2011

Y1 - 2011

N2 - We present and evaluate a novel idea for scalable lossy colour image coding with Matching Pursuit (MP) performed in a transform domain. The idea is to exploit correlations in RGB colour space between image subbands after wavelet transformation rather than in the spatial domain. We propose a simple quantisation and coding scheme of colour MP decomposition based on Run Length Encoding (RLE) which can achieve comparable performance to JPEG 2000 even though the latter utilises careful data modelling at the coding stage. Thus, the obtained image representation has the potential to outperform JPEG 2000 with a more sophisticated coding algorithm.

AB - We present and evaluate a novel idea for scalable lossy colour image coding with Matching Pursuit (MP) performed in a transform domain. The idea is to exploit correlations in RGB colour space between image subbands after wavelet transformation rather than in the spatial domain. We propose a simple quantisation and coding scheme of colour MP decomposition based on Run Length Encoding (RLE) which can achieve comparable performance to JPEG 2000 even though the latter utilises careful data modelling at the coding stage. Thus, the obtained image representation has the potential to outperform JPEG 2000 with a more sophisticated coding algorithm.

KW - Colour image coding

KW - Matching Pursuit

KW - Run Length Encoding

KW - Wavelets

UR - https://www.scopus.com/pages/publications/80052971883

U2 - 10.1007/978-3-642-24085-0_32

DO - 10.1007/978-3-642-24085-0_32

M3 - 会议稿件

AN - SCOPUS:80052971883

SN - 9783642240843

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 306

EP - 317

BT - Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings

PB - Springer Verlag

ER -

Maciol R, Yuan Y, Nabney IT. Colour image coding with matching pursuit in the spatio-frequency domain. In Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1 ed. Springer Verlag. 2011. p. 306-317. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-24085-0_32

Colour image coding with matching pursuit in the spatio-frequency domain

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this