Hossny, Mohammed, Nahavandi, Saeid and Creighton, Doug 2008, Feature-based image fusion quality metrics, in ICIRA 2008 : Proceedings of the 1st International Conference on Intelligent Robotics and Applications 2008, Springer Berlin, Heidelberg, Germany, pp. 469-478.
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ICIRA 2008 : Proceedings of the 1st International Conference on Intelligent Robotics and Applications 2008
Lecture Notes in Computer Science. v.5314/2008
International Conference on Intelligent Robotics and Applications
Place of publication
Image fusion quality metrics have evolved from image processing quality metrics. They measure the quality of fused images by estimating how much localized information has been transferred from the source images into the fused image. However, this technique assumes that it is actually possible to fuse two images into one without any loss. In practice, some features must be sacrificed and relaxed in both source images. Relaxed features might be very important, like edges, gradients and texture elements. The importance of a certain feature is application dependant. This paper presents a new method for image fusion quality assessment. It depends on estimating how much valuable information has not been transferred.