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Authors: Paul Bao 1 and Le Thanh Hai 2

Affiliations: 1 Information Technology, University of South Florida, United States ; 2 School of Computer Engineering, Nanyang Technological University, Singapore

Abstract: We propose a novel image fusion scheme based on independent component analysis in which image / information is fused aimed at information maximization. In the scheme, a novel algorithm is presented which, based on specific fusing images, determines adaptively a specific weight for linear fusion of images using ICA. The scheme is established on the ICA maximum information principles and offers an efficient and adaptive image fusion process with the robustness under various fusion situations.

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Paper citation in several formats:
Bao, P. and Thanh Hai, L. (2006). Content-Adaptive Data Fusion. In Proceedings of the 2nd International Workshop on Biosignal Processing and Classification (ICINCO 2006) - BPC; ISBN 978-972-8865-67-2, SciTePress, pages 23-32. DOI: 10.5220/0001222100230032

@conference{bpc06,
author={Paul Bao. and Le {Thanh Hai}.},
title={Content-Adaptive Data Fusion},
booktitle={Proceedings of the 2nd International Workshop on Biosignal Processing and Classification (ICINCO 2006) - BPC},
year={2006},
pages={23-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001222100230032},
isbn={978-972-8865-67-2},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Biosignal Processing and Classification (ICINCO 2006) - BPC
TI - Content-Adaptive Data Fusion
SN - 978-972-8865-67-2
AU - Bao, P.
AU - Thanh Hai, L.
PY - 2006
SP - 23
EP - 32
DO - 10.5220/0001222100230032
PB - SciTePress