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Feature-based image fusion quality metrics
conference contribution
posted on 2008-01-01, 00:00 authored by Mohammed Hossny, Saeid Nahavandi, Douglas CreightonDouglas CreightonImage 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.
History
Event
International Conference on Intelligent Robotics and Applications (1st : 2008 : Wuhan, China)Series
Lecture Notes in Computer Science. v.5314/2008Pagination
469 - 478Publisher
Springer BerlinLocation
Berlin, GermanyPlace of publication
Heidelberg, GermanyPublisher DOI
Start date
2008-10-15End date
2008-10-17ISSN
0302-9743eISSN
1611-3349ISBN-13
9783540898993ISBN-10
3540898999Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2008, Springer-Verlag Berlin HeidelbergTitle of proceedings
ICIRA 2008 : Proceedings of the 1st International Conference on Intelligent Robotics and Applications 2008Usage metrics
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