Paper Info
Title
Pixel- and region-based image fusion with complex wavelets
Abstract
A number of pixel-based image fusion algorithms (using averaging, contrast pyramids, the discrete wavelet transform and the dual-tree complex wavelet transform (DT-CWT) to perform fusion) are reviewed and compared with a novel region-based image fusion method which facilitates increased flexibility with the definition of a variety of fusion rules. A 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 the pixel-based fusion methods as shown using a number of metrics. Despite an increase in complexity, region-based methods have a number of advantages over pixel-based methods. These include: the ability to use more intelligent semantic fusion rules; and for regions with certain properties to be attenuated or accentuated.
Year
DOI
Venue
2007
10.1016/j.inffus.2005.09.006
Information Fusion
Keywords
Field
DocType
pixel-based image fusion algorithm,pixel-based method,pixel-based fusion method,region-based fusion,dual-tree complex wavelet,region-based method,segmentation,discrete wavelet,complex wavelets,intelligent semantic fusion rule,novel region-based image fusion,region-based approach,image fusion,fusion rule,feature-based fusion,discrete wavelet transform
Computer vision,Pattern recognition,Image fusion,Fusion rules,Artificial intelligence,Discrete wavelet transform,Stationary wavelet transform,Complex wavelet transform,Wavelet packet decomposition,Mathematics,Wavelet transform,Wavelet
Journal
Volume
Issue
ISSN
8
2
Information Fusion
Citations 
PageRank 
References 
187
6.20
9
Authors
5
Search Limit
100187
Name
Order
Citations
PageRank
John J. Lewis12269.44
Robert J. O'Callaghan21876.20
Stavri G. Nikolov324612.64
David R. Bull41736189.86
Nishan Canagarajah547733.36