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

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

Ryszard Maciol, Yuan Yuan, Ian T. Nabney

Computer Science Research Group

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

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
Pages (from-to)	306-317
Number of pages	12
Journal	Lecture Notes in Computer Science
Volume	6978
DOIs	https://doi.org/10.1007/978-3-642-24085-0
Publication status	Published - Sept 2011
Event	Image Analysis and Processing - ICIAP 2011 - Ravenna (IT) Duration: 14 Sept 2011 → 16 Sept 2011

Bibliographical note

The original publication is available at www.springerlink.com

Keywords

colour image coding
matching pursuit
wavelets
run length encoding

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10.1007/978-3-642-24085-0

http://www.springerlink.com/content/573g7m3p215gx345

Cite this

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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.",

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

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AU - Yuan, Yuan

AU - Nabney, Ian T.

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PY - 2011/9

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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.

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KW - wavelets

KW - run length encoding

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - Image Analysis and Processing - ICIAP 2011

Y2 - 14 September 2011 through 16 September 2011

ER -

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

Abstract

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Keywords

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