Abstract
We present a model to simulate the subjective evaluation and compare various fusion algorithms. First, we produce an all-focus image and two multi-focus images by the help of two filters. Second, we fuse two multi-focus images with two representative algorithms WT and CT. Third, we decide the optimal fusion rules of WT and CT by comparing the fused images with an all-focus image. Finally, we improve the performances of fused images by combining several algorithms. Simulation shows the verification model can compare various fusion algorithms or rules. Meanwhile, our fusion model can get better performances than other algorithms or rules.
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Acknowledgements
The authors would like to thank the editor and the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. This work was supported by the Science and Technology Planning Projection of Guangdong Province, China (Grant No.: 2017A010101016).
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Li, W., Song, R. The verification model of multi-focus image fusion by simulating subjective evaluation. Soft Comput 24, 5111–5118 (2020). https://doi.org/10.1007/s00500-019-04263-1
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DOI: https://doi.org/10.1007/s00500-019-04263-1