DocumentCode :
3483381
Title :
Image fusion algorithms and metrics duality index
Author :
Hossny, M. ; Nahavandi, S.
Author_Institution :
Centre for Intell. Syst. Res., Deakin Univ., Waurn Ponds, VIC, Australia
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
2193
Lastpage :
2196
Abstract :
This paper discusses the duality between image fusion algorithms and quality metrics. It discusses odd cases where some quality metrics fail to estimate the added information and proposes a duality index that measures how suitable the metrics are to fusion algorithms. The proposed duality index serves as an objective function against which combinations of fusion algorithms, metrics, and their parameters are tested.
Keywords :
image fusion; image fusion algorithms; metrics duality index; objective function; Counting circuits; Entropy; Fuses; Image fusion; Image processing; Intelligent systems; Mean square error methods; Mutual information; Navigation; Testing; Duality; Image fusion; Metrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413850
Filename :
5413850
Link To Document :
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