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.
Event
IEEE International Conference on Industrial Informatics (5th : 2007, Vienna, Austria)Pagination
419 - 424Publisher
IEEE XploreLocation
Vienna, AustriaPlace of publication
Piscataway, N.JStart date
2007-07-23End date
2007-07-27ISSN
1935-4576Language
engNotes
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E1 Full written paper - refereedCopyright notice
2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Title of proceedings
5th IEEE International Conference on Industrial Informatics, 2007
