18 April 2006 A novel ICA domain multimodal image fusion algorithm
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Abstract
In this paper, we present a novel ICA domain multimodal image fusion algorithm. Conventional eigenbased algorithm was improved through weighting the transformed regions of input images and the use of a fusion metric to maximise the quality of the fused image. It is confirmed by experimental results that the proposed methods outperform the basic eigenbased methods and, in most cases, our own prior work on the DT-CWT method. For all the standard image fusion metrics, the proposed method obtains higher quality values than the standard eigenbased algorithms.
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Nedeljko Cvejic, Nedeljko Cvejic, Nishan Canagarajah, Nishan Canagarajah, David Bull, David Bull, } "A novel ICA domain multimodal image fusion algorithm", Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420W (18 April 2006); doi: 10.1117/12.665306; https://doi.org/10.1117/12.665306
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