TY - JFULL AU - Nedeljko Cvejic and Artur 艁oza and David Bull and Nishan Canagarajah PY - 2008/9/ TI - A Similarity Metric for Assessment of Image Fusion Algorithms T2 - International Journal of Computer and Information Engineering SP - 2825 EP - 2830 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/1046 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 20, 2008 N2 - 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. ER -