Region-based multimodal image fusion using ICA bases

N Cvejic, J Lewis, DR Bull, CN Canagarajah

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

3 Citations (Scopus)
307 Downloads (Pure)

Abstract

In this paper, we present a novel region-based multimodal image fusion algorithm in the ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from the given regions. The proposed method exhibits considerably higher performance than the basic ICA algorithm and shows improvement over other state-of-the-art algorithms.
Translated title of the contributionRegion-based multimodal image fusion using ICA bases
Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, Atlanta, GA, United States
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1801 - 1804
Number of pages4
ISBN (Print)1424404819
DOIs
Publication statusPublished - Oct 2006
EventInternational Conference on Image Processing - Atlanta, United States
Duration: 1 Oct 2006 → …

Conference

ConferenceInternational Conference on Image Processing
CountryUnited States
CityAtlanta
Period1/10/06 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work has been funded by the UK Ministry of Defence Data and Information Fusion Defence Technology Centre.

Terms of use: Copyright © 2006 IEEE. Reprinted from IEEE International Conference on Image Processing, 2006.

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Keywords

  • image fusion
  • joint segmentation
  • region-based fusion
  • independent component analysis

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