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Image fusion metrics : evolution in a nutshell
conference contribution
posted on 2013-01-01, 00:00 authored by Mohammed Hossny, Saeid Nahavandi, Douglas CreightonDouglas Creighton, Asim BhattiAsim Bhatti, Marwa HassanImage 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.
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Event
Computer Modelling and Simulation. International Conference (15th : 2013 : Cambridge, England)Pagination
443 - 450Publisher
IEEE Computer SocietyLocation
Cambridge, EnglandPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-04-10End date
2013-04-12ISBN-13
9780769549941Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2013, IEEETitle of proceedings
UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and SimulationUsage metrics
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