Publication | Closed Access
Fast-FMI: Non-reference image fusion metric
215
Citations
14
References
2014
Year
Unknown Venue
EngineeringMachine LearningImage FeaturesBiometricsMulti-image FusionImage AnalysisData SciencePattern RecognitionFusion LearningMachine VisionMatlab Source CodeData FusionInverse ProblemsComputer ScienceMedical Image ComputingDeep LearningNon-reference Image FusionFeature FusionComputer VisionMulti-focus Image FusionMutual Information
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.
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