Region-based image fusion using complex wavelets

JJ Lewis, RJ O'Callaghan, SG Nikolov, DR Bull, CN Canagarajah

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

121 Citations (Scopus)


This paper focuses on a novel region-based image fusion method which facilitates increased flexibility with the definition of a variety of fusion rules. A dual-tree complex wavelet transform (DT-CWT) is used to segment the features of the input images, either jointly or separately, to produce a region map. Characteristics of each region are calculated and a region-based approach is used to fuse the images, region-by-region, in the wavelet domain. This method gives results comparable to pixel-based fusion methods, but despite an increase in complexity, has a number of advantages over such methods. These include: the ability to use more intelligent semantic fusion rules; and for regions with certain properties to be attenuated or accentuated
Translated title of the contributionRegion-based image fusion using complex wavelets
Original languageEnglish
Title of host publicationSeventh International Conference on Information Fusion, Stockholm, Sweden
PublisherInt. Soc. of Information Fusion
Pages555 - 562
Number of pages8
ISBN (Print)917056115X
Publication statusPublished - 28 Jun 2004


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