Hossny, M., Nahavandi, Saeid and Creighton, Douglas 2007, A quadtree driven image fusion quality assessment, in 5th IEEE International Conference on Industrial Informatics, 2007, IEEE Xplore, Piscataway, N.J, pp. 419-424.
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5th IEEE International Conference on Industrial Informatics, 2007
International Conference on Industrial Informatics
Place of publication
In this paper a new method to compute saliency of source images is presented. This work is an extension to universal quality index founded by Wang and Bovik and improved by Piella. It defines the saliency according to the change of topology of quadratic tree decomposition between source images and the fused image. The saliency function provides higher weight for the tree nodes that differs more in the fused image in terms topology. Quadratic tree decomposition provides an easy and systematic way to add a saliency factor based on the segmented regions in the images.
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