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Proceedings Paper

A novel ICA domain multimodal image fusion algorithm
Author(s): Nedeljko Cvejic; Nishan Canagarajah; David Bull
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Paper 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.

Paper Details

Date Published: 18 April 2006
PDF: 8 pages
Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420W (18 April 2006); doi: 10.1117/12.665306
Show Author Affiliations
Nedeljko Cvejic, Univ. of Bristol (United Kingdom)
Nishan Canagarajah, Univ. of Bristol (United Kingdom)
David Bull, Univ. of Bristol (United Kingdom)


Published in SPIE Proceedings Vol. 6242:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006
Belur V. Dasarathy, Editor(s)

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