DocumentCode :
264027
Title :
Fast-FMI: Non-reference image fusion metric
Author :
Haghighat, Mohammad ; Razian, Masoud Amirkabiri
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Miami, Coral Gables, FL, USA
fYear :
2014
fDate :
15-17 Oct. 2014
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, we present a non-reference image fusion metric based on the mutual information of image features. Whereas a recent metric proposed by the author called FMI achieves such a goal, the algorithm is complex and has high memory requirements for its calculations. This paper shows how to modify the model of FMI, and proposes a faster algorithm to achieve similar results. The new algorithm achieves a significant complexity reduction in comparison to the previous model. Various experiments prove the efficiency of the algorithm in consistency with the subjective criteria. Matlab source code for this metric is provided at http://www.mathworks.com/matlabcentral/fileexchange/45926.
Keywords :
image fusion; FMI; Matlab source code; complexity reduction; image features; mutual information; nonreference image fusion metric; Complexity theory; Computers; Discrete wavelet transforms; Feature extraction; Image fusion; Measurement; Mutual information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location :
Astana
Print_ISBN :
978-1-4799-4120-9
Type :
conf
DOI :
10.1109/ICAICT.2014.7036000
Filename :
7036000
Link To Document :
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