%0 Journal Article %A Nedeljko Cvejic and Artur Łoza and David Bull and Nishan Canagarajah %D 2008 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 20, 2008 %T A Similarity Metric for Assessment of Image Fusion Algorithms %U https://publications.waset.org/pdf/1046 %V 20 %X In this paper, we present a novel objective nonreference performance assessment algorithm for image fusion. It takes into account local measurements to estimate how well the important information in the source images is represented by the fused image. The metric is based on the Universal Image Quality Index and uses the similarity between blocks of pixels in the input images and the fused image as the weighting factors for the metrics. Experimental results confirm that the values of the proposed metrics correlate well with the subjective quality of the fused images, giving a significant improvement over standard measures based on mean squared error and mutual information. %P 2826 - 2830