Region-based multimodal image fusion using ICA bases

N Cvejic, DR Bull, CN Canagarajah

Research output: Contribution to journalArticle (Academic Journal)peer-review

95 Citations (Scopus)
676 Downloads (Pure)

Abstract

In this paper, we present a novel multimodal image fusion algorithm in the independent component analysis (ICA) domain. Region-based fusion of ICA coefficients is implemented, where segmentation is performed in the spatial domain and ICA coefficients from separate regions are fused separately. The ICA coefficients from given regions are consequently weighted using the Piella fusion metric in order to maximize the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and also shows improvement over other state-of-the-art algorithms
Translated title of the contributionRegion-based multimodal image fusion using ICA bases
Original languageEnglish
Pages (from-to)743 - 751
Number of pages9
JournalIEEE Sensors Journal
Volume7
Issue number5
DOIs
Publication statusPublished - May 2007

Bibliographical note

Publisher: Institute of Electrical and Electronics Engineers
Rose publication type: Journal article

Sponsorship: This work was supported in part by the U.K. Ministry of Defence
Data and Information Fusion Defence Technology Centre.

Terms of use: Copyright © 2007 IEEE. Reprinted from IEEE Sensors Journal.

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Keywords

  • fusion metrics
  • image fusion
  • independent component analysis (ICA)
  • region-based fusion

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