Logarithmic high dimensional model representation in image processing

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1 Citation (Scopus)

Abstract

Logarithmic HDMR is an HDMR based method and it allows us to reconstruct an analytical structure for a given multivariate analytical function in terms of less variate components. In this study, we develop a method to model multivariate data through Logarithmic HDMR and we use this method to make an approximation to the given original image. That is, we deal with the reconstruction of an image by using Logarithmic HDMR philosophy and we reach very promising results.

Original languageEnglish
Title of host publication10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014
EditorsSeenith Sivasundaram
PublisherAmerican Institute of Physics Inc.
Pages1120-1126
Number of pages7
ISBN (Electronic)9780735412767
DOIs
Publication statusPublished - 10 Dec 2014
Event10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014 - Narvik, Norway
Duration: 15 Jul 201418 Jul 2014

Publication series

NameAIP Conference Proceedings
Volume1637
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2014
Country/TerritoryNorway
CityNarvik
Period15/07/1418/07/14

Bibliographical note

Publisher Copyright:
© 2014 AIP Publishing LLC.

Keywords

  • approximation
  • HDMR
  • image processing
  • multivariate analysis

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