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

version (5.86 KB) by Mohammad Haghighat
FMI is a non-reference image fusion metric based on mutual information of image features.


Updated 05 Oct 2016

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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.

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.

Comments and Ratings (4)

Mike Reno

amina amm

hi, Could you send me the paper of the Conference pleas

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 (view profile)


Steve (view profile)


Linked to Github

MATLAB Toolbox File Format

MATLAB Toolbox File Format

Added the Fast-FMI implementation

Added the Fast-FMI implementation

Added Copyright owner

Added description

Added reference

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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