A novel ICA domain multimodal image fusion algorithm

Nedeljko Cvejic; Nishan Canagarajah; David Bull

doi:10.1117/12.665306

18 April 2006 A novel ICA domain multimodal image fusion algorithm

Nedeljko Cvejic, Nishan Canagarajah, David Bull

Proceedings Volume 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006; 62420W (2006) https://doi.org/10.1117/12.665306
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

Nedeljko Cvejic, Nishan Canagarajah, and 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); https://doi.org/10.1117/12.665306

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available