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The significant area in varied image processing applications is medical image fusion. In recent years, more efforts, advancement has been made on expanding image fusion algorithms when there is a scarcity of benchmark and code library that can scale the state-of-the-art works. In this research, different image fusion algorithms are implemented on various medical images. A medical image fusion benchmark (MFB) that includes numerous evaluation metrics and fusion algorithms code library is exhibited. Furthermore, within the benchmark, inclusive experiments are also carried out to realize this performance, effective algorithms for powerful image fusion are distinguished by resolving quantitative and qualitative outcomes, and some observances on the states and future likelihoods of this field are granted.
Ghandour et al. (Mon,) studied this question.