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Image fusion metrics : evolution in a nutshell

Hossny, Mohammed, Nahavandi, Saeid, Creighton, Douglas, Asim, Bhatti and Hassan, Marwa 2013, Image fusion metrics : evolution in a nutshell, in UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and Simulation, IEEE Computer Society, Piscataway, N.J., pp. 443-450, doi: 10.1109/UKSim.2013.72.

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Title Image fusion metrics : evolution in a nutshell
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, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Asim, BhattiORCID iD for Asim, Bhatti orcid.org/0000-0001-6876-1437
Hassan, Marwa
Conference name Computer Modelling and Simulation. International Conference (15th : 2013 : Cambridge, England)
Conference location Cambridge, England
Conference dates 10-12 Apr. 2013
Title of proceedings UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and Simulation
Editor(s) [Unknown]
Publication date 2013
Conference series Computer Modelling and Simulation International Conference
Start page 443
End page 450
Total pages 8
Publisher IEEE Computer Society
Place of publication Piscataway, N.J.
Keyword(s) image fusion metrics
Summary Image fusion process merges two images into a single more informative image. Objective image fusion per- formance metrics rely primarily on measuring the amount of information transferred from each source image into the fused image. Objective image fusion metrics have evolved from image processing dissimilarity metrics. Additionally, researchers have developed many additions to image dissimilarity metrics in order to better value the local fusion worthy features in source images. This paper studies the evolution of objective image fusion performance metrics and their subjective and objective validation. It describes how a fusion performance metric evolves starting with image dissimilarity metrics, its realization into image fusion contexts, its localized weighting factors and the validation process.
ISBN 9780769549941
Language eng
DOI 10.1109/UKSim.2013.72
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 ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30055220

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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