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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.
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Hossny et al. (2009) studied this question.
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