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Image fusion performance metric based on mutual information and entropy driven quadtree decomposition

Image fusion performance metric based on mutual information and entropy driven quadtree decomposition

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© The Institution of Engineering and Technology
Published

The mutual information (MI) measure has become a popular metric to assess image fusion performance. However, despite its publicity, it provides a questionable result that consistently favours additive fusion (averaging) over multi-scale decomposition (MSD) fusion algorithms. Presented is a localised variation of MI to assess image fusion performance while preserving the importance of local structural similarity. The presented metric has been validated with extensive tests on popular image fusion test cases.

Inspec keywords: entropy; image fusion; quadtrees

Other keywords: additive fusion; mutual information measure; local structural similarity; entropy driven quadtree decomposition; image fusion performance metric; multiscale decomposition fusion algorithms

Subjects: Computer vision and image processing techniques; Combinatorial mathematics; Combinatorial mathematics; Optical, image and video signal processing; Sensor fusion

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