Complex wavelet domain image fusion based on fractional lower order moments

AM Achim, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

24 Citations (Scopus)
448 Downloads (Pure)

Abstract

We describe an image fusion algorithm for data exhibiting heavy tails with no convergent second- or higher-order moments. Our developments rely on recent results showing that wavelet decomposition coefficients of images are best modeled by alpha-stable distributions, a family of heavy-tailed densities. Thus, in the multiscale wavelet domain we develop a novel fusion rule based on fractional lower order moments (FLOM's). Simulation results show that our method achieves better performance in comparison with previously proposed pixel-level fusion approaches.
Translated title of the contributionComplex wavelet domain image fusion based on fractional lower order moments
Original languageEnglish
Title of host publicationIEEE 8th International Conference on Information Fusion, Philadelphia, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages515 - 521
Number of pages7
Volume1
ISBN (Print)0780392868
DOIs
Publication statusPublished - Jul 2005
Event8th International Conference on Information Fusion - Philadelphia, PA, United States
Duration: 1 Jul 2005 → …

Conference

Conference8th International Conference on Information Fusion
CountryUnited States
CityPhiladelphia, PA
Period1/07/05 → …

Bibliographical note

Conference Proceedings/Title of Journal: IEEE 8th International Conference on Information Fusion
Rose publication type: Conference contribution

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Keywords

  • image fusion
  • wavelet decomposition
  • alpha-stable distributions
  • parameter estimation
  • fractional lower order moments
  • symmetric covariation

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