Image fusion algorithms and metrics duality index

Authors:
M. Hossny;S. Nahavandi
Affiliations:
Centre for Intelligent Systems Research, Deakin University, Australia;Centre for Intelligent Systems Research, Deakin University, Australia
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper discusses the duality between image fusion algorithms and quality metrics. It discusses odd cases where some quality metrics fail to estimate the added information and proposes a duality index that measures how suitable the metrics are to fusion algorithms. The proposed duality index serves as an objective function against which combinations of fusion algorithms, metrics, and their parameters are tested.