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

Ryszard Maciol, Yuan Yuan, Ian T. Nabney

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationImage Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings
Pages306-317
Number of pages12
EditionPART 1
DOIs
StatePublished - 2011
Externally publishedYes
Event16th International Conference on Image Analysis and Processing, ICIAP 2011 - Ravenna, Italy
Duration: 14 Sep 201116 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6978 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Image Analysis and Processing, ICIAP 2011
Country/TerritoryItaly
CityRavenna
Period14/09/1116/09/11

Keywords

  • Colour image coding
  • Matching Pursuit
  • Run Length Encoding
  • Wavelets

Fingerprint

Dive into the research topics of 'Colour image coding with matching pursuit in the spatio-frequency domain'. Together they form a unique fingerprint.

Cite this