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A quadtree driven image fusion quality assessment

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conference contribution
posted on 2007-01-01, 00:00 authored by Mohammed Hossny, Saeid Nahavandi, Douglas CreightonDouglas Creighton
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.



IEEE International Conference on Industrial Informatics (5th : 2007, Vienna, Austria)


419 - 424


IEEE Xplore


Vienna, Austria

Place of publication

Piscataway, N.J

Start date


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Publication classification

E1 Full written paper - refereed

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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

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