Image Fusion: Principles, Technology and Applications
We present different measures to evaluate image fusion based on the structural similarity between the inputs and the fused image. These measures do not require a ground-truth and are easy to compute. They are compliant with subjective evaluations and can therefore be used to compare different image fusion methods or to find the best parameters for a given fusion algorithm.
Piella, G.. Performance Assessment in Image Fusion. In: Davis, C.T. (Ed.). Image Fusion: Principles, Technology and Applications. 1 ed. Nova Science; 2015. p. 1-16.