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Feature Mutual Information (FMI) metric for non-reference image fusion

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FMI is a non-reference image fusion metric based on mutual information of image features.

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FMI calculates the Feature Mutual Information (FMI), the non-reference performance metric for fusion algorithms, proposed in:

M.B.A. Haghighat, A. Aghagolzadeh, H. Seyedarabi, "A Non-Reference Image Fusion Metric Based on Mutual Information of Image Features," Computers and Electrical Engineering, vol. 37, no. 5, pp. 744-756, Sept. 2011.
http://dx.doi.org/10.1016/j.compeleceng.2011.07.012


This code is the implementation of FAST-FMI, presented in:

M. Haghighat, M.A. Razian, “Fast-FMI: non-reference image fusion metric,” 8th International Conference on Application of Information and Communication Technologies (AICT), pp. 1-3, 2014.
http://dx.doi.org/10.1109/ICAICT.2014.7036000

Comments and Ratings (4)

Mike Reno

amina amm

hi, Could you send me the paper of the Conference pleas
amm.amina85@gmail.com

in your paper"Identification Using Encrypted Biometrics"
Could you help me?. I don't understand Kd trees for quantisation in your proposed method.
thank you

Steve

Steve (view profile)

Steve

Steve (view profile)

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