Feature-based image fusion quality metrics

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, doi: 10.1007/978-3-540-88513-9_51.

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Title Feature-based image fusion quality metrics
Author(s) Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Creighton, DougORCID iD for Creighton, Doug orcid.org/0000-0002-9217-1231
Conference name International Conference on Intelligent Robotics and Applications (1st : 2008 : Wuhan, China)
Conference location Berlin, Germany
Conference dates 15-17 October 2008
Title of proceedings ICIRA 2008 : Proceedings of the 1st International Conference on Intelligent Robotics and Applications 2008
Editor(s) [Unknown]
Publication date 2008
Series Lecture Notes in Computer Science. v.5314/2008
Conference series International Conference on Intelligent Robotics and Applications
Start page 469
End page 478
Total pages 10
Publisher Springer Berlin
Place of publication Heidelberg, Germany
Summary 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.
ISBN 3540898999
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-540-88513-9_51
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017706

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